data analytics engineer

Capgemini

<div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p>Join Capgemini as an FBS Associate Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.
</p><p>As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture &amp; Solutioning. Helping build complex data products, data assets to support the organizations D&amp;A needs.
</p><ul><li>Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data &amp; data products
</li><li>Work with different business teams, IT to help business team get the required data to support their needs
</li><li>Become an SME on the different source systems, data products and help different business users with their data needs
</li>Support the existing data assets and products by refreshing the data<br>
<li>
</li></ul></div></div><p></p><div><div><p>Data Engineering
<br>
Data Quality &amp; Data Management
<br>
ETL -
<br>
Data Warehousing &amp; Data Lake
</p><p>Python &ndash;
</p><p>SQL - Snowflake
</p><p>PySpark
</p><p>AWS (Lambda, EMR, Step Function)<br>
</p></div></div></div><p></p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div>

Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

Apple

<p>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 encourages 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.
<br>
<br>
We are looking for passionate and dedicated professionals to join our Data Services&rsquo; Data Analytics and Engineering team. This team manages various state of the art open source technologies in Big Data Analytics and Gen-AI areas, including Hadoop ecosystem, AI/ML and Vector Databases as well as Enterprise MPP systems. The ideal candidate should have experience in architecting/deploying large-scale Analytics systems and services, ready to learn and explore new leading edge technologies.<br>
<br>
<b>Description</b><br>
Are you passionate about building highly scalable, distributed applications that efficiently handle large volumes of data? Do you thrive on mastering various Big Data and MPP technologies and selecting the best ones for each application? If you are excited by the challenge of working in a fast-paced environment where your technical skills are tested daily and you want your work to impact millions of Apple users, we want to hear from you.
<br>
In this role, you will join Apple's Data Services Data Analytics and Engineering team as a highly motivated, detail-oriented, and energetic individual with excellent communication skills.
<br>
Your responsibilities will include:<br>
Design, architect, engineer and mentor in Big Data and MPP technologies, platforms and applications.<br>
Lead the design, development and management of new solutions using the latest technologies and data platforms such as SingleStore, Vertica, Clickhouse, Doris across various environments, including physical &amp; virtual machines, containers, and cloud platforms.<br>
Develop scalable, robust systems that adapt to evolving business requirements.<br>
Measure, Compare, Optimise and Tune the System / Datastore performance<br>
Create proofs of concept for emerging technologies, performance benchmarking and architect scalable applications.<br>
Recommend and implement tools and processes to accelerate the development, deployment and maintenance of Analytics workloads.<br>
Collaborate with application owners, developers, and project managers, leveraging your expertise to provide guidance on architectural decisions and address complex technical challenges related to scaling and performance tuning.<br>
<br>
<b>Preferred Qualifications</b><br>
Experience with data visualisation tools such as Tableau, Looker and Apache Superset.<br>
Knowledge of open-source Vector databases such as Milvus, Weaviate, etc. is a plus.<br>
Proficient in Application development using any programming language, with a focus on designing and building tools and frameworks for managing and scaling Big Data technologies.<br>
<br>
<b>Minimum Qualifications</b><br>
Strong educational background in Computer Science or Software Engineering.<br>
8 to 12 years of professional experience managing complex, distributed and multi-tier Big Data / Analytics environments.<br>
Proven experience as a database SRE, specifically with MPP technologies such as SingleStore, ClickHouse, Vertica, Doris, etc<br>
In-depth knowledge of datastore performance tuning, query optimisation and troubleshooting along with DR setup / Backup and recovery procedures.<br>
Extensive experience working with public cloud platforms (AWS &amp; GCP) and Kubernetes container deployments.<br>
Expertise in automation, including the development of tools and scripts to monitor server-side components and improve operational efficiency.<br>
Familiarity with architectural and design considerations related to scalability, reusability, and flexibility.<br>
Demonstrate strong problem-solving and critical thinking skills, along with a solid ability to quickly evaluate and apply new technologies.<br>
A passion for solving challenging engineering problems and triaging complex operational issues in collaboration with various engineering and customer teams.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

Data Analytics / MPP Engineer

Henkel

<div>
 <strong>
  About this Position
 </strong>
 This position is part of the Global Business Solution (GBS+), IT Department.
 <br/>
 <br/>
 <strong>
  What You&acute;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to data analytics and digital transformation projects on global scale.
  </li>
  <li>
   Work closely with business stakeholders to analyze processes, identify bottlenecks, and explore opportunities to leverage data and analytics for efficiency and insights.
  </li>
  <li>
   Contribute to building dashboards and reports in Power BI, combining existing and new data sources to deliver actionable insights.
  </li>
  <li>
   Support the design, development, and maintenance of data-driven solutions by piloting advanced tools and cloud technologies (e.g., Azure, Databricks).
  </li>
  <li>
   Participate in data extraction, cleaning, and transformation using various tools.
  </li>
  <li>
   Assist in data preprocessing and integration across multiple systems to ensure data accuracy, quality, and consistency.
  </li>
  <li>
   Luxury to participate in data science and AI initiatives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What makes you a good fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Business Informatics, Actuarial Sciences, or any related field.
  </li>
  <li>
   0&ndash;1 year of relevant work experience in data analytics or engineering.
  </li>
  <li>
   Proficient in statistical analysis using tools such as Python or R.
  </li>
  <li>
   Solid foundation in programming languages: Python or Java.
  </li>
  <li>
   Strong understanding of database fundamentals and proficiency in SQL.
  </li>
  <li>
   Hands-on experience with data visualization tools such as Power BI or Tableau (mandatory).
  </li>
  <li>
   Preferable experience with Microsoft Azure ecosystem (e.g., DevOps, Machine Learning, Databricks, etc.) and familiarity with SAP processes.
  </li>
  <li>
   Fluent in English, with excellent communication and teamwork skills.
  </li>
  <li>
   Proficient in Microsoft Office applications (Word, Excel, PowerPoint).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Some perks of joining Henkel
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  </li>
  <li>
   Diverse national and international growth opportunities
  </li>
  <li>
   Global wellbeing standards with health and preventive care programs
  </li>
  <li>
   Gender-neutral parental leave for a minimum of 8 weeks
  </li>
  <li>
   Employee Share Plan with voluntary investment and Henkel matching shares
  </li>
  <li>
   Comprehensive Health Insurance for employee + dependents
  </li>
  <li>
   Employee Assistance Program provides a wide range of mental health and wellbeing benefits
   <br/>
   <br/>
  </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>


Data Analytics Engineer (Graduate One Year Intern)

Ford Motor Company

<div><p>As a Senior Data Engineer, you will leverage your deep knowledge of GCP and your experience with cloud migration to build and maintain scalable, secure, and reliable Data solutions. You will collaborate closely with architects, engineers, and operations teams to deliver high-quality cloud-based solutions.</p></div>
<br><div><p><b>Responsibilities:
</b></p><ul><li>Design, develop, and optimize data pipelines and ETL workflows using GCP services such as Big Query, Dataflow, Pub/Sub, Dataproc, and Cloud Storage.
</li><li>Perform data cleaning, transformation, and validation to ensure accuracy and consistency across various data sources
</li><li>Understand solution patterns and help application teams implement the patterns and maintain data warehousing solutions to support analytics and reporting needs.
</li><li>Ensure data integrity, security, and governance best practices are followed across all data solutions.
</li><li>Work closely with cross functional applications to provide hands on help with the migrations
</li><li>Work closely with BI teams&rsquo; data scientists, analysts, and business stakeholders to understand data needs and translate them into scalable solutions.
</li><li>Monitor, troubleshoot, and improve data pipelines to ensure high availability and performance.
</li><li>Advocate for best practices in data modeling, schema design, and query optimization.
</li><li>Orchestrate data processing and workflows using Astronomer and Terraform.
</li><li>Collaborate in the design and implementation of machine learning data pipelines where applicable.
</li><li>Stay up to date with the latest GCP data technologies and industry trends.
</li><li>Leverage LLMs to create accelerators wherever it is feasible
</li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>GCP certifications (Professional Cloud Architect &amp; Professional Data Engineer).
</li><li>Experience with machine learning pipelines and AI-driven data solutions.
</li><li>Experience with IBM DataStage, Informatica, DBT &amp; Databricks
</li><li>Knowledge &amp; understanding of BI tools such as QlikSense, Power BI etc.
</li></ul><p>Experience with containerization (Docker, Kubernetes).</p></div>
<br><div><p><b>Qualifications:
</b></p><ul><li>8+ years of experience in data engineering with a 3+ years of hands-on experience of Data Engineering on Google cloud-based data solutions.
</li><li>Strong hands-on experience with Google Cloud Platform (GCP) services, including Big Query, Dataflow, Dataproc, and Pub/Sub, Data Catalog/ Data Plex Catalog
</li><li>Proficiency in SQL, Python, and Pyspark or Apache Beam.
</li><li>Proficiency understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality &amp; Data Mapping
</li><li>Experience building and optimizing ETL/ELT processes for large-scale data environments.
</li><li>Experience in Migrating on prem Warehouses, ETLs and BI tools to GCP
</li><li>Familiarity with data modeling, schema design, and Big Query optimization.
</li><li>Hands-on experience with infrastructure-as-code tools like Terraform.
</li><li>Experience working with real-time data streaming and batch processing.
</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.
</li><li>Excellent communication and collaboration skills.
</li><li>Experience with CI/CD tools and automation frameworks (e.g., Jenkins, GitLab CI, Terraform, Tekton etc..).</li></ul></div>

PLM Data & Analytics Cloud Engineer

UNCOMN

<div><div><div>At <b>UN</b><b>COMN</b>, we don&rsquo;t just fix issues; we deliver secure solutions that power essential operations in both the public and private sectors. Our team tackles tough challenges&mdash;whether it&rsquo;s improving organizational systems, streamlining logistics, or making sense of complex data&mdash;all with one goal: helping our clients succeed so they can continue serving others.<br>
<br>
We&rsquo;ve built a culture rooted in our <b>Core Values</b>, where innovation thrives, work-life balance is respected, and career growth is always encouraged. We're also proud to be recognized as a &lsquo;<b>Top Workplace</b>,&rsquo; and that&rsquo;s not just us talking; it&rsquo;s our employees. Now, we&rsquo;re looking for another Uncommon Genius to join our dynamic team. If you love solving puzzles, building new things, fixing what&rsquo;s broken, or pushing the boundaries of creativity, we encourage you to explore the details of this position below!</div>
</div><div></div><div><b>UN</b><b>COMN </b>is seeking a <b>Data Steward (Analytics Engineer 2, Associate-Level)</b> to:</div>
<ul><li>Partner with clients to understand business needs, define requirements, and identify data-driven solutions.</li>
<li>Collaborate with cross-functional teams to translate business goals into actionable data solutions and deliverables.</li>
<li>Build and maintain data pipelines to extract, transform, and prepare data for analysis.</li>
<li>Implement and monitor data quality checks to identify and resolve common issues across datasets.</li>
<li>Contribute to the setup and maintenance of analytical data environments and supporting tools.</li>
<li>Develop and document ETL utilities for integrating multiple data sources.</li>
<li>Communicate technical concepts, insights, and progress clearly to both technical and non-technical stakeholders.</li>
</ul><div><i>This position description outlines the core duties for this role, but it is not all-inclusive. Responsibilities may shift based on contract requirements, mission needs, or organizational objectives.</i></div>
<div><br>
<b>Requirements</b></div>
<ul><li>5+ years of related experience.</li>
<li>Must be eligible to obtain a Secret clearance, granted by the U.S. Government, which requires U.S. citizenship. The government also uses 13 adjudicative guidelines to determine an individual's eligibility.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or other related discipline required.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
<li>Strong SQL skills with experience profiling data, analyzing results, and reporting on data quality metrics.</li>
<li>Understanding of data governance and management best practices.</li>
<li>Self-motivated with the ability to manage multiple priorities and meet deadlines independently.</li>
<li>Must be willing to obtain relevant certifications as required by future client or contract needs.</li>
</ul><div><b>Preferred Qualifications</b></div>
<ul><li>Active DoD Secret clearance granted by the U.S. Government.</li>
<li>Experience supporting U.S. Government contracts or analytics projects.</li>
<li>Familiarity with Business Intelligence tools, Palantir, and/or PySpark.</li>
<li>Strong foundation in data concepts, descriptive analytics, and visualization techniques.</li>
</ul><div><b>Why</b> <b>UN</b><b>COMN?</b></div>
<div><ul><li><b>Instant Flexible PTO: </b>Enjoy flexible paid time off starting your very first day with us!</li>
<li><b>Generous Holidays: </b>Benefit from 7 paid holidays and up to 3 floating holidays annually.</li>
<li><b>Immediate Health Coverage: </b>Get access to comprehensive health benefits from day one.</li>
<li><b>401K Safe Harbor Match: </b>Secure your future with our top-tier 401K matching program.</li>
<li><b>Growth Opportunities: </b>Advance your career with our training and education assistance programs.</li>
<li><b>Free Employee Assistance Program (EAP): </b>Access complimentary support services for you and your family.</li>
</ul><div><div><i>Note: Benefits apply to full-time employees only.</i></div>
<div><br>
<b>Don&rsquo;t meet every single requirement? We&rsquo;re dedicated to building an uncommon, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</b><br>
<br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.</i></div></div></div></div>

Data Steward (Analytics Engineer 2, Associate)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><b>JD-</b></div>
<div><b>
Google Data Engineer</b></div><br>
<div></div>
<div><b>
Exp -5 to 10 years</b></div><div></div><div><b><br>
Design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.Should be proficient in Python/Java Script,SQL and Data analysis,Data Query and Composer.</b></div>
</div></div></div><div><div><div><b>Location</b></div>
<div>Pune</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>375465</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | GCP - IT Service Management Consulting | MySql
</div></div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

GCP Data Engineer

Sonata Software

<div><p><b>About Sonata Software</b></p><p>
In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail &amp; CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Ge<b>Job Title:</b> Data Science Engineer</p><p><b>
Experience:</b> 4&ndash;8 years</p><p><b>
Role Summary:</b></p><div><div><b>
Role Overview:</b></div><b>
</b><div><b>The </b><b>Microsoft Fabric Developer</b><b> will be responsible for designing, developing, and maintaining </b><b>end-to-end data and analytics solutions</b><b> using the </b><b>Microsoft Fabric platform</b><b>. The role involves working across </b><b>Data Engineering</b><b>, </b><b>Data Science</b><b>, and </b><b>Business Intelligence</b><b> components within Fabric &mdash; leveraging </b><b>Data Factory</b><b>, </b><b>Lakehouse</b><b>, </b><b>Data Engineering</b><b>, </b><b>Data Science</b><b>, and </b><b>Power BI</b><b> experiences to deliver scalable, governed, and business-ready insights.</b></div><b>
</b><div><b>This position requires strong technical expertise in </b><b>Microsoft Fabric architecture</b><b>, </b><b>Power BI</b><b>, and </b><b>Azure data services</b><b>, coupled with the ability to translate business needs into performant, automated data pipelines and analytical models.</b></div></div><p></p><p><b>
Key Responsibilities:</b></p><ul><li><div><b>
Data Ingestion &amp; Integration</b></div><ul><li>
Design and implement <b>data ingestion pipelines</b> using <b>Microsoft Fabric Data Factory</b>.</li></ul><div><b>
2. Data Engineering &amp; Modeling</b></div><ul><li>
Build <b>Lakehouses, Warehouses</b>, and <b>Data Models</b> using Fabric Data Engineering capabilities.</li></ul><div><b>
3. Business Intelligence &amp; Visualization</b></div><ul><li>
Develop <b>semantic models</b> and <b>interactive dashboards</b> using <b>Power BI within Fabric</b>.</li></ul><div><b>
4. Collaboration &amp; Automation</b></div><ul><li>
Collaborate with <b>Data Scientists</b>, <b>Analysts</b>, and <b>Business SMEs</b> to support ML model training and deployment pipelines within Fabric.</li></ul><div><b>
5. Governance &amp; Best Practices</b></div><ul><li>
Implement <b>data security, RBAC, sensitivity labels</b>, and <b>data sharing policies</b> in Fabric</li></ul><div><b>
Required Skills &amp; Experience:</b></div><ul><li>
4&ndash;8 years of experience in <b>data engineering, BI, or analytics</b>, with at least 1 year in <b>Microsoft Fabric</b>.</li><li>
Strong proficiency in <b>Microsoft Fabric components</b>, including:</li><ul><li>
Data Factory, Lakehouse, Data Engineering, Data Science, Warehouse, Power BI, OneLake.</li></ul><li>
Advanced skills in <b>SQL</b>, <b>PySpark</b>, and <b>Data Modeling</b>.</li><li>
Experience with <b>Power BI datasets, DAX, and data visualization best practices</b>.</li><li>
Familiarity with <b>Microsoft Purview</b> for governance and <b>Entra ID (Azure AD)</b> for access control.</li><li>
Understanding of <b>ETL/ELT pipelines</b>, <b>CI/CD for data pipelines</b>, and <b>Azure DevOps</b> integration.</li><li>
Exposure to <b>Azure Synapse</b>, <b>Databricks</b>, or <b>Azure Data Lake</b> migration to Fabric.</li></ul><p></p><div><b>
Good-to-Have Skills:</b></div><ul><li>
Experience integrating <b>Microsoft Fabric with Copilot and GenAI-based insights</b>.</li><li>
Knowledge of <b>Python, Notebooks</b>, or <b>ML model deployment</b> within Fabric Data Science experience.</li><li>
Understanding of <b>RAG pipelines</b>, <b>AI-driven analytics</b>, or <b>Semantic Kernel</b> integration.</li><li>
Certification: <b>Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)</b>.</li><li>
Exposure to <b>D365 data sources</b>, <b>Power Platform</b>, or <b>Azure Data Factory (legacy)</b>.</li></ul><p></p><div><b>
Education:</b></div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or a related field.</li></ul><p></p><div><b>
Soft Skills:</b></div><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent collaboration and communication abilities.</li><li>
Ability to translate business needs into data-driven outcomes.</li><li>
Focus on performance optimization, governance, and automation.</li></ul></li></ul></div><p></p>

Developer

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