enterprise data engineer

TriNet

<div><p>Staff Enterprise Data Engineer (India)<br>
<br>
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers&rsquo; compensation insurance.<br>
<br>
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you&rsquo;re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients&rsquo; business success with extraordinary HR.<br>
<br>
<b>Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody&rsquo;s perfect &ndash; and we encourage you to apply. You may just be the right candidate for this or other roles.</b><br>
<br>
<b>A Brief Overview</b><br>
The Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any business partner that needs curated data for data and analytics use cases across the enterprise. This role will be the key interface in operationalizing data and analytics on behalf of the business unit(s) and organizational outcomes and will require both creative and collaborative working with IT and the wider business. It will involve evangelizing effective data management practices and promoting better understanding of data and analytics. The data engineer will also be responsible for planning and implementing the best-in-class analytics and data science solutions utilizing a variety of technologies, including on-premises and leading cloud service providers, in collaboration with important business partners and IT specialists.<br>
<br>
<b>What you will do</b></p>
<ul>
<li>Create, maintain, and optimize data pipelines from development to production for specific use cases.</li>
<li>Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.</li>
<li>Assist with optimizing the data management infrastructure to drive automation in data integration and management.</li>
<li>Implementing and using modern data preparation, integration and AI-enabled metadata management tools and techniques. Including MLOps framework and infrastructure automation.</li>
<li>Tracking data consumption patterns</li>
<li>Performing intelligent sampling and caching</li>
<li>Monitoring schema changes</li>
<li>Recommending &mdash; or sometimes even automating &mdash; existing and future integration flows.</li>
<li>Collaborate in close relationship with data science teams and with business (data) analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.</li>
<li>Build, model and curate data lake/warehouse and other data consumption methods.</li>
<li>Performs other duties as assigned</li>
<li>Complies with all policies and standards</li>
</ul>
<p><b>Education Qualifications</b></p>
<ul>
<li>Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred</li>
</ul>
<p><b>Experience Qualifications</b></p>
<ul>
<li>Typically 8+ years experience in implementation of Data &amp; BI projects in a large-scale enterprise data lake/ warehouse environment required</li>
<li>Typically 8+ years experience in ETL/ELT Architecture and hands-on experience in developing the ETL/ELT jobs and tools like Informatica PowerCenter/ Informatica Cloud - IICS, AWS Glue required</li>
<li>Must have working experience in SFDC and PeopleSoft in areas of Sales, Marketing, Finance, or Support domains</li>
<li>Knowledge or experience in working with Cloud data warehouses like Snowflake, AWS Redshift and good understanding of ANSI SQL</li>
<li>Proven hands-on experience in using Informatica components such as Designer, Workflow Manager, Workflow Monitor, Repository Manager, Python etc</li>
<li>Hands on experience with database performance tuning like Oracle, Postgres and strong database languages like SQL, PL/SQL, ANSI SQL, Unix Shell and Perl Scripting</li>
</ul>
<p><b>Skills and Abilities</b></p>
<ul>
<li>Knowledge of end-to-end SDLC process in EDW, Data Lake, BI &amp; MLOps projects (Advanced proficiency)</li>
<li>Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes and normalized data models (Advanced proficiency)</li>
<li>Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers &amp; IT Teams (Intermediate proficiency)</li>
<li>Knowledge of Reporting tools like Tableau is desired (Intermediate proficiency)</li>
<li>Excellent verbal and written communication skills (Advanced proficiency)</li>
</ul>
<p><b>Licenses and Certifications</b></p>
<ul>
<li>Informatica Powercenter preferred</li>
</ul>
<p><b>Travel Requirements</b><br>
Minimal travel<br>
<br>
<b>Work Environment</b></p>
<ul>
<li>Work in a clean, pleasant, and comfortable office work setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.</li>
<li>This position is 100% in office.</li>
</ul>
<p>Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.<br>
<br>
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.</p></div>

Staff Enterprise Data Engineer

Bain & Company

<div><p><b>ABOUT US:</b></p><p>
Bain &amp; Company is a global consultancy that helps the world&rsquo;s most ambitious change makers define the future. Across 61 offices in 39 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.</p><p>
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN plays a critical role in supporting Bain's case teams globally to help with analytics and research across all industries, for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.</p><p></p><p><b><br>
WHO YOU&rsquo;LL WORK WITH:</b></p><p>
This role is based in the Enterprise Technology Center of Excellence (ET CoE), part of Bain&rsquo;s broader &ldquo;Data &amp; Technology&rdquo; umbrella within the BCN. The Enterprise Technology CoE provides specialized support on Tech Strategy, Transformation, and Roadmap projects for Bain clients across industries. The ET CoE team acts as the analytical and delivery arm of Bain&rsquo;s ET Practice.</p><p><b>
WHAT YOU&rsquo;LL DO:</b></p><ul><li>
The ideal candidate will have hands-on experience in data analysis, data engineering, and solution architecture, with a solid understanding of how to design and implement scalable data systems that enable insights and decision-makingThis role blends technical understanding with strategic thinking, supporting consulting teams and internal stakeholders in building scalable, efficient, and future-ready technology ecosystems.Design, build, and maintain data pipelines, ETL workflows, and data models to support analytics and knowledge productsDevelop scalable, efficient, and reusable data architectures using modern tools and cloud platforms (e.g., AWS, Azure, GCP, Databricks, Snowflake)Evaluate &amp; recommend data storage, integration, and processing solutions aligned with firm-wide architecture standardsConduct exploratory data analysis and create meaningful dashboards, and insights to support strategic decisionsPartner with consulting teams to translate business questions into data-driven analyses and prototypesEnsure data quality, consistency, and reliability across multiple sourcesCollaborate with cross-functional teams&mdash;consultants, knowledge specialists, and technology teams&mdash;to deliver impactful data-driven products.Support internal capability building by documenting learnings, reusable assets, and frameworksWork under the guidance of a Team Manager / Sr. Team Manager, playing a key role in driving the team&rsquo;s overall answer and final materials, client communication, work planning, and team managementLead client/ case team calls and effectively communicate data, knowledge, insights and actionable next steps to the case team; relay implications to his/her own internal teamKeep abreast of new and current statistical, database and data warehousing tools &amp; techniquesRecognize team&rsquo;s development needs and consistently provide responsible feedback in all interactions via conducting performance discussions, writing reviews for appraisal etc.Assist on other team management activities (e.g. recruiting, training, etc.)</li></ul><p><b>
ABOUT YOU:</b></p><div><ul><li>
Candidates should be graduates / post-graduates with strong academic record</li><li>
Work experience range in case highest qualification is undergraduate studies &ndash; 2-5 years of relevant experience in a professional services context</li><li>
Work experience range in case highest qualification is postgraduate studies &ndash; 0-3 years of relevant experience in a professional services context</li><li>
Ideal candidates have a strong consulting mindset and have contributed to client-facing engagements in areas such as Enterprise Architecture, technology modernization, Tech strategy, Process excellence and automation, Tech cost optimization, Application portfolio rationalization etc.</li><li>
3&ndash;4 years of experience in data engineering, data analysis, or data architecture roles</li><li>
Strong proficiency in SQL, and working knowledge of Python or R for data manipulation</li><li>
Experience with ETL tools, data modeling, and cloud-based data platforms (e.g., AWS Glue, Azure Data Factory, Snowflake, BigQuery)</li><li>
Good understanding of data architecture principles (e.g., data lakes, warehouses, pipelines)</li><li>
Strong analytical skills with the ability to interpret complex data and generate actionable insights</li><li>
Familiarity with BI tools (e.g., Power BI, Tableau, Looker) and data visualization best practices.</li><li>
You&rsquo;ll help design and deploy scalable technology solutions, leverage advanced LLMs like ChatGPT, and implement autonomous agents to drive measurable business value</li></ul></div><p><b>
WHAT MAKES US A GREAT PLACE TO WORK:</b></p><p>
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor&rsquo;s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.</p></div>

Associate- Enterprise Technology(Data Engineer)

Apple

<div>The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here. Are you passionate about handling large &amp; complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies? Then we are looking for you. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Global Business Intelligence team is looking for passionate, meticulous, technical savvy, energetic engineer who likes to think creatively. Apple's Enterprise Data warehouse team deals with Petabytes of data catering to a wide variety of real- time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We use a diverse technology stack such as Snowflake, Spark, HANA, SingleStore, Kafka, Iceberg, Cassandra and beyond. Designing, developing and scaling these big data solutions are a core part of our daily job.<br>
<br>
<b>Description</b><br>
<ul><li>As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization.
</li></ul><br>
<ul><li>Translate complex business requirements into scalable technical solutions meeting data warehousing/analytics design standards.
</li></ul><br>
<ul><li>Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help implement leading data practices &amp; standards.
</li></ul><br>
- Collaborate with multiple multi-functional teams and work on solutions which has larger impact on Apple business. - Ability to communicate effectively, both written and verbal, with technical and non- technical multi-functional teams.
<br>
<br>
<ul><li>You will get along with many other internal/external teams to deliver elite products in an exciting rapidly changing environment.
</li></ul><br>
- Ability to manage partner communication &amp; project risks. - Thrives in a multifaceted environment, maintaining composure and a positive attitude.<br>
<br>
<b>Preferred Qualifications</b><br>
High expertise in modern cloud warehouse, data lakes and implementation experience on any of the cloud platforms like AWS/GCP/Azure - preferably AWS.<br>
Experience working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Scala.<br>
Database development experience with Relational or MPP/distributed systems such as Snowflake, SingleStore<br>
Excellent problem solving, critical thinking with ability to evaluate and apply new technologies in a short time<br>
Strong written and oral communication skills<br>
Experience in working with global collaborators with ability to influence decision making.<br>
Dedicated, highly motivated with learnability skills.<br>
Exposure working in Data Science projects will be a plus<br>
<br>
<b>Minimum Qualifications</b><br>
8 - 18 years of Hands on Experience in developing and building data pipelines on Cloud &amp; Hybrid infrastructure for analytical needs<br>
Experience working with cloud based data warehouse solutions - Snowflake, SingleStore etc., along with expertise in SQL and Advance SQL.<br>
Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data<br>
Bachelor&rsquo;s Degree or equivalent in data engineering, computer science or similar field.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Cloud Data Engineer

Charles River Laboratories

<div><p>At Charles River, we are passionate about improving the quality of people&rsquo;s lives. When you join our global family, you will help create healthier lives for millions of patients and their families.</p><p>
Charles River employees are innovative thinkers, who are dedicated to continuous learning and improvement. We will empower you with the resources you need to grow and develop in your career.</p><p>
As a Charles River employee, you will be part of an industry-leading, customer-focused company at the forefront of drug development. Your skills will play a key role in bringing life-saving therapies to market faster through simpler, quicker, and more digitalized processes. Whether you are in lab operations, finance, IT, sales, or another area, when you work at Charles River, you will be the difference every day for patients across the globe.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Summary</b></h2>
</div><div><p>
At Charles River Laboratories, we&rsquo;re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows&mdash;empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients&rsquo; lives.</p><p></p><p><br>
As a <b>Data Engineer</b> on our Enterprise Data and Analytics team, you&rsquo;ll be a key contributor to building the data infrastructure that powers innovation across Charles River. In this role, you&rsquo;ll design and develop scalable data pipelines, integrate diverse data sources, and support the delivery of analytics and AI-driven solutions that improve operational efficiency and scientific outcomes. You&rsquo;ll collaborate with cross-functional teams to ensure data is accessible, reliable, and ready for advanced analytics. This is a great opportunity to grow your technical expertise, work on meaningful projects, and help shape how data and AI drive our mission to create healthier lives.</p><p></p><p><br>
Key Responsibilities:</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.</li><li>Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake to support analytics and reporting needs.</li><li>Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets.</li><li>Ensure data security, compliance, and governance by applying best practices, role-based access control (RBAC), and encryption.</li><li>Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across Azure cloud environments.</li><li>Automate data integration and transformation tasks using Azure Functions, Logic Apps, and scripting languages like Python.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Qualifications</b></h2>
</div><div><p>
Essential Qualifications:</p><ul><li>Bachelor&rsquo;s degree in computer engineering, Computer Science, or a related discipline</li><li>3+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.</li><li>3+ years of advanced SQL programming expertise (PL/SQL, T-SQL)</li><li>2+ years of experience in Enterprise Data &amp; Analytics solution architecture</li><li>2+ years of experience in Python Programming</li><li>1+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.</li><li>2+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions</li><li>1+ years of experience designing data models aligning with business requirements and analytics needs.</li><li>1+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring.</li><li>Strong analytical skills and a passion for intellectual curiosity</li></ul><p></p><p><br>
Preferred Skills:</p><ul><li>2+ years of experience setting up and operating data pipelines using Python or SQL</li><li>Familiarity with DevOps processes (CI/CD) and infrastructure as code</li><li>Knowledge of Master Data Management (MDM) and Data Quality tools</li><li>Experience developing REST APIs using Java Spring Boot, Python</li><li>Experience building and supporting AL/ML software solutions</li><li>Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)</li><li>Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation.</li><li>Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps.</li><li>Experience in data and analytics within the Life Sciences industry is a plus.</li></ul></div></div></div><p></p><p><b><br>
About Corporate Functions</b><br>
The Corporate Functions provide operational support across Charles River in areas such as Human Resources, Finance, IT, Legal, Sales, Quality Assurance, Marketing, and Corporate Development. They partner with their colleagues across the company to develop and drive strategies and to set global standards. The functions are essential to providing a bridge between strategic vision and operational readiness, to ensure ongoing functional innovation and capability improvement.</p><p><b><br>
About Charles River</b><br>
Charles River is an early-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development. Charles River also provides a suite of products and services to support our clients&rsquo; clinical laboratory testing needs and manufacturing activities. Utilizing this broad portfolio of products and services enables our clients to create a more flexible drug development model, which reduces their costs, enhances their productivity and effectiveness to increase speed to market.</p><p><br>
With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client&rsquo;s unique challenges. Our client base includes global pharmaceutical companies, biotechnology companies, government agencies and hospitals and academic institutions around the world.</p><p><br>
At Charles River, we are passionate about our role in improving the quality of people&rsquo;s lives. Our mission, our excellent science and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well-being of many across the globe. We have proudly worked on 80% of the drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years.</p><p></p><p><br>
We&rsquo;re committed to providing benefits that elevate your quality of life. Based on your position these may include: bonus/incentives based on performance, 401K, paid time off, stock purchase program, Health and wellness coverage, employee and family wellbeing support programs, and work life balance flexibility.</p><p><b><br>
Equal Employment Opportunity</b></p><p>
Charles River is an equal opportunity employer and is committed to providing equal employment opportunities for all qualified applicants and employees without regard to race, color, sex, religion, national origin, ancestry, age, mental or physical disability, family status, pregnancy, military or veteran status, or any other characteristic protected by federal, state, or local laws.</p><p>
It is unlawful in some states (including Massachusetts) to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br>
<br>
If you are interested in applying to Charles River Laboratories and need special assistance or an accommodation due to a disability to complete any forms or to otherwise participate in the resume submission process, please contact a member of our Human Resources team by sending an e-mail message to crrecruitment_US@crl.com. This contact is for accommodation requests for individuals with disabilities only and cannot be used to inquire about the status of applications.</p><p></p><p><br>
For more information, please visit www.criver.com.</p><div>
231080</div></div>

Data Engineer (REMOTE)

Continental

<div></div><div><div><div><div><div><div><div><p>Your tasks
</p><div><div><ul><li>Govern the enterprise-wide standards for data &amp; analytics modeling and performance within the Databricks Lakehouse.</li><li>Drive consistency and reuse of core data &amp; analytics artifacts and ensure scalable integration across all business domains.</li><li>Provide expert consulting, quality assurance, and enablement for data engineering and data science teams.</li><li>Act as a design authority for data warehouse, semantic modeling, and advanced analytics integration.</li><li>Acts as the senior engineering point of contact for the lakehouse layer across global teams.</li><li>Coordinates with 25+ data engineering and data science professionals across domains and geographies.</li><li>Collaborates closely with platform architects, data scientists, governance teams, and functional IT globally.</li></ul><p>
Main Tasks:</p><ul><li>Define enterprise 3NF and warehouse modeling standards.</li><li>Maintain and review enterprise-wide data &amp; analytics models and shared artifacts.</li><li>Align naming conventions and metadata handling with governance standards.</li><li>Guide partitioning, indexing, and performance tuning.</li><li>Enable, steer and optimize semantic integration with Power BI, live tabular exploration and other tools.</li><li>Own common functions, e.g. FX conversion, BOM logic, time-slicing.</li><li>Review and approve core components for quality and reusability.</li><li>Provide support on high-performance or high-complexity challenges.</li><li>Align lakehouse implementation with architectural decisions.</li><li>Collaborate with data science and AI teams on model deployment.</li><li>Ensure seamless integration of ML/AI pipelines into the lakehouse.</li><li>Support LLM and external API integration patterns.</li><li>Build and maintain shared libraries and data engineering templates.</li><li>Coach junior engineers and define TDD and &quot;as-code&quot; standards.</li><li>Drive engineering excellence across the community of practice.</li><li>Maintain architectural blueprints, templates, and best practices.</li><li>Publish design guidelines and coding standards.</li><li>Create re-usable architecture patterns for lakehouse environments.</li><li>Monitor usage and implement auto-scaling policies.</li><li>Analyze and optimize cluster configurations for cost-efficiency.</li><li>Provide cost transparency and usage reporting to stakeholders.</li></ul><br>
<p></p>
<p>
</p></div></div></div><div><p>Your profile
</p><div><div><p>Degree in Computer Science or related field; certifications in Databricks or Microsoft preferred.</p><p>
6&ndash;10 years in data engineering with focus on enterprise data &amp; analytics warehouse, lakehouse modeling, and ML integration.</p><p>
Hands-on experience designing large-scale semantic, warehouse, and advanced analytics layers.</p><p>
Track record of architectural ownership and peer enablement with diverse teams.</p><p>
Experience working in international teams across multiple time zones and cultures, preferably with teams in India, Germany, and the Philippines.</p><br>
<p></p>
<p>
</p></div></div></div><div><p>Our offer
</p><div><div><p>The well-being of our employees is important to us. That's why we offer exciting career prospects and support you in achieving a good work-life balance with additional benefits such as:</p><ul><li>
Training opportunities</li><li>
Mobile and flexible working models</li><li>
Sabbaticals</li></ul><p>
and much more...</p><p>
Sounds interesting for you? Click here to find out more.</p><p></p><p><br>
Diversity, Inclusion &amp; Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.</p><div></div><p>
Ready to drive with Continental? Take the first step and fill in the online application.</p><br>
<p>
</p></div></div></div><div><p>About us
</p><div><div><p>Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent, and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of &euro;41.4 billion and currently employs around 200,000 people in 56 countries and markets.</p><p>
 Guided by the vision of being the customer's first choice for material-driven solutions, the ContiTech group sector focuses on development competence and material expertise for products and systems made of rubber, plastics, metal, and fabrics. These can also be equipped with electronic components in order to optimize them functionally for individual services. ContiTech's industrial growth areas are primarily in the areas of energy, agriculture, construction, and surfaces. In addition, ContiTech serves the automotive and transportation industries as well as rail transport.</p><p>
The IT Digital and Data Services Competence Center of ContiTech caters to all the Business Areas in ContiTech and responsible among other on areas of Data &amp; Analytics, Web and Mobile Software Development and AI</p><p>
The team for Data services specializes in all platforms, business applications and products in the domain of data and analytics, covering the entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding.</p><p><br>
</p></div></div></div><div><p><b>
</b></p></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Keyfacts
</b></h2><div><div>Job ID
<br>
<b>REF87521Z</b>
</div><p>Location
<br>
<b>Bengaluru</b>
</p><p></p><p>Leadership level
<br>
<b>Leading Self</b>
</p><p>Job flexibility
<br>
<b>Hybrid Job</b>
</p><div><div><div>Legal Entity
<br>
<b>ContiTech India Pvt. Ltd.</b></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

IT engineer Data Lakehouse - Tech Lead

<div><p>For 75 years, Charles River employees have worked together to assist in the discovery, development and safe manufacture of new drug therapies. When you join our family, you will have a significant impact on the health and well-being of people across the globe. Whether your background is in life sciences, finance, IT, sales or another area, your skills will play an important role in the work we perform. In return, we&rsquo;ll help you build a career that you can feel passionate about.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Summary</b></h2>
</div><div><p>
At Charles River Laboratories, we&rsquo;re transforming how we work by harnessing the power of AI, data, and digital innovation to accelerate the discovery and development of life-saving therapies. Our vision is to embed artificial intelligence and advanced analytics across every stage of our scientific and operational workflows&mdash;empowering our teams with smarter tools, seamless data, and actionable insights to deliver client-centric services and solutions that better serve our customers and, ultimately, improve patients&rsquo; lives.</p><p></p><p><br>
As a <b>Senior Data Engineer</b> within our Enterprise Data and Analytics team, you&rsquo;ll be at the forefront of a company-wide digital transformation. We&rsquo;re looking for a forward-thinking engineer who brings deep technical expertise and a passion for building scalable, AI-ready data platforms. In this role, you&rsquo;ll architect and implement modern data solutions that power intelligent applications, streamline operations, and deliver measurable business value. You&rsquo;ll work closely with cross-functional teams to design robust pipelines, integrate diverse data sources, and enable advanced analytics and generative AI capabilities. This is a unique opportunity to shape the future of data engineering at Charles River and help unlock the full potential of data to drive innovation in the life sciences.</p><p></p><p><br>
Key Responsibilities:</p><ul><li>Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Data Bricks, and other Azure services.</li><li>Implement and optimize data storage solutions using Azure Data Lake, Azure SQL Database, and Delta Lake to support analytics and reporting needs.</li><li>Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality, reliable datasets.</li><li>Ensure data security, compliance, and governance by applying best practices, role-based access control (RBAC), and encryption.</li><li>Monitor and troubleshoot data workflows, ensuring performance, reliability, and cost-efficiency across Azure cloud environments.</li><li>Automate data integration and transformation tasks using Azure Functions, Logic Apps, and scripting languages like Python.</li><li>Mentor junior engineers and foster a collaborative team environment.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Qualifications</b></h2>
</div><div><p>
Essential Qualifications:</p><ul><li>Bachelor&rsquo;s degree in computer engineering, Computer Science, or a related discipline</li><li>7+ years of experience in ETL design, development, and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.</li><li>7+ years of advanced SQL programming expertise (PL/SQL, T-SQL)</li><li>5+ years of experience in Enterprise Data &amp; Analytics solution architecture</li><li>3+ years of experience in Python Programming</li><li>3+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions.</li><li>3+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions</li><li>2+ years of experience designing data models aligning with business requirements and analytics needs.</li><li>2+ years of experience defining and implementing data security standards, including encryption, auditing, and monitoring.</li><li>Strong analytical skills and a passion for intellectual curiosity</li></ul><p></p><p><br>
Preferred Skills:</p><ul><li>2+ years of experience setting up and operating data pipelines using Python or SQL</li><li>Familiarity with DevOps processes (CI/CD) and infrastructure as code</li><li>Knowledge of Master Data Management (MDM) and Data Quality tools</li><li>Experience developing REST APIs using Java Spring Boot, Python</li><li>Experience building and supporting AL/ML software solutions</li><li>Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)</li><li>Experience with API integrations (RESTful, SOAP) for both internal and external systems to enhance data flow and automation.</li><li>Experience working in Agile environments, familiarity with Agile tools like Jira or Azure DevOps.</li><li>Experience in data and analytics within the Life Sciences industry is a plus.</li></ul></div></div></div><p></p><p><b><br>
About Corporate Functions</b><br>
The Corporate Functions provide operational support across Charles River in areas such as Human Resources, Finance, IT, Legal, Sales, Quality Assurance, Marketing, and Corporate Development. They partner with their colleagues across the company to develop and drive strategies and to set global standards. The functions are essential to providing a bridge between strategic vision and operational readiness, to ensure ongoing functional innovation and capability improvement.</p><p></p><p><b><br>
About Charles River</b><br>
Charles River is an early-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services, both Good Laboratory Practice (GLP) and non-GLP, to support clients from target identification through preclinical development. Charles River also provides a suite of products and services to support our clients&rsquo; clinical laboratory testing needs and manufacturing activities. Utilizing this broad portfolio of products and services enables our clients to create a more flexible drug development model, which reduces their costs, enhances their productivity and effectiveness to increase speed to market.</p><p>
With over 20,000 employees within 110 facilities in over 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client&rsquo;s unique challenges. Our client base includes global pharmaceutical companies, biotechnology companies, government agencies and hospitals and academic institutions around the world.</p><p>
At Charles River, we are passionate about our role in improving the quality of people&rsquo;s lives. Our mission, our excellent science and our strong sense of purpose guide us in all that we do, and we approach each day with the knowledge that our work helps to improve the health and well-being of many across the globe. We have proudly worked on 80% of the drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years.</p><p>
We&rsquo;re committed to providing benefits that elevate your quality of life. Based on your position these may include: bonus/incentives based on performance, 401K, paid time off, stock purchase program, Health and wellness coverage, employee and family wellbeing support programs, and work life balance flexibility.</p><p></p><p><b><br>
Equal Employment Opportunity</b></p><p>
Charles River is an equal opportunity employer and is committed to providing equal employment opportunities for all qualified applicants and employees without regard to race, color, sex, religion, national origin, ancestry, age, mental or physical disability, family status, pregnancy, military or veteran status, or any other characteristic protected by federal, state, or local laws.</p><p>
It is unlawful in some states (including Massachusetts) to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p><p>
If you are interested in applying to Charles River Laboratories and need special assistance or an accommodation due to a disability to complete any forms or to otherwise participate in the resume submission process, please contact a member of our Human Resources team by sending an e-mail message to crrecruitment_US@crl.com. This contact is for accommodation requests for individuals with disabilities only and cannot be used to inquire about the status of applications.</p><p>
For more information, please visit www.criver.com.</p><div>
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