data engineering architect

Confiz

<div><p>We are looking for an experienced <b>Data Architect</b> with 7+ years of progressive experience in data engineering, architecture design, and technical leadership. You will lead the architectural strategy and execution for our real-time and batch data platforms, ensuring scalability, reliability, and performance across a modern cloud-native ecosystem. This role is suited for a visionary technologist who can drive enterprise-grade solutions, establish best practices, and mentor high-performing engineering teams.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Design and implement scalable, secure, and efficient data architectures for integrated systems.</li>
<li>Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.</li>
<li>Develop data flow frameworks to ensure seamless integration between applications, databases, and cloud platforms.</li>
<li>Define and enforce data architecture standards, best practices, and governance policies.</li>
<li>Manage data import processes from various source systems/API and oversee data export to other systems/API, ensuring accuracy and reliability.</li>
<li>Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.</li>
<li>Optimize data storage, retrieval, and processing to enhance performance and reliability.</li>
<li>Ensure data security, compliance, and integrity across all systems.</li>
<li>Conduct code reviews, provide feedback, and ensure best practices are followed.</li>
<li>Identify and resolve data-related issues, bottlenecks, and inefficiencies.</li>
<li>Stay updated with emerging technologies and industry best practices in data architecture and engineering.</li>
<li>Completed documentation of Data Architecture structure.</li>
</ul>
<p><b>Qualifications:</b></p>
<ul><li>Bachelors or equivalent Degree in Computer Science, Information Technology or related field.</li>
<li>8+ years of professional, hands-on experience building complex solution that collect, process, store and analyze large volumes of business-critical data &bull; 3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks</li>
<li>3+ years of experience developing both multidimensional and tabular models with large and complex datasets;</li>
<li>1+ years working in an Architect role including: designing, modeling and building complex data solutions</li>
<li>Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend</li>
<li>Proficiency in Python &amp; SQL</li>
<li>Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain</li>
<li>Must have good knowledge of Data Governance Practices and Data Quality Tools</li>
<li>Must have good knowledge of data security and privacy measures</li>
<li>Experience in managing teams, being a technical coach</li>
<li>Experience driving knowledge transfer and/or training programs</li>
<li>Experience with agile delivery methodologies, proof of concepts and prototyping</li>
<li>Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps</li>
<li>Demonstrated strategic thinking through a proven ability to research client inquiries and emerging issues related to regulations, industry practice and new application technologies</li>
<li>Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows</li>
<li>Ability to facilitate design discussions and communicate architectural decisions</li>
<li>Experience in Microsoft Fabric and Purview is an additional advantage</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

Data Architect

mobiezy

<p><b>Sr Data Engineer </b></p><p><b>Location:</b> India</p><p><b>Experience:</b> 10+ Years</p><p><b>Department:</b> Architecture Team, Data Insights &amp; Analytics</p><p><b>Role Summary</b></p><p>We are seeking an accomplished <b>Data Engineer</b> to join our dynamic Architecture Team within the Data Insights &amp; Analytics group. The ideal candidate will bring <b>7+ years of experience</b> in architecting, developing, and managing robust, scalable data solutions for large-scale enterprises.</p><p>You will <b>design and implementation of next-generation data architectures</b> &amp; AI ready Data Products and deliver enterprise insights. Deep expertise in the <b>Databricks Lakehouse platform &amp; AWS Cloud Services</b>, with preferable Experience/Knowledge in <b>SAP data processing</b> .</p><p><b>Key Responsibilities</b></p><ul><li>Architect, design, and build scalable data architectures, pipelines, and data products (Databricks, AWS).</li><li>Design and develop enterprise data models; manage the full data life cycle.</li><li>Extract, transform, and integrate data from SAP ECC/S4HANA and other non-SAP environments.</li><li>Build solutions for real-time, streaming, and batch data workloads.</li><li>Define and implement data security, governance, and compliance standards.</li><li>Adapt and implement data quality and observability practices.</li><li>Perform performance tuning and cost optimization.</li><li>Support Operations teams in day-to-day business needs.</li><li><b>Collaborate with business and technical teams to understand requirements and deliver scalable data architecture solutions.</b></li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li><b>Experience:</b></li><li>Minimum 10<b>+ years</b> in data architecture/data engineering roles.</li><li>Proven success in large-scale data environments.</li><li><b>Technical Proficiency:</b></li><li><b>Databricks Lakehouse platform</b>:</li><li>Delta Lake &amp; Medallion Architecture</li><li>DLT Pipelines</li><li>PySpark Workbooks</li><li>Spark SQL &amp; SQL Warehouse</li><li>Unity Catalog (data governance, lineage)</li><li>Genie (query performance, indexing)</li><li>Security &amp; Role-Based Access Control</li><li><i>Bonus</i>: MLflow knowledge</li><li><b>Data Modeling:</b></li><li>ER &amp; Dimensional modeling</li><li>Metadata management</li><li><b>Programming:</b></li><li>Python, SQL, PySpark</li><li><b>AWS Cloud Services:</b></li><li>S3, Lambda, EMR, Redshift, Bedrock</li><li>Familiarity with DevOps, CI/CD Process.</li></ul><p><b>Preferred/Optional Skills</b></p><ul><li>SAP ERP &amp; S/4HANA data extraction (DataSphere, BDC)</li><li>SLT, SAP ABAP, CDS views knowledge</li><li>Manufacturing domain experience</li><li>SAP data domain expertise</li></ul><p><b>Education</b></p><ul><li><b>Master&rsquo;s Degree</b> in Computer Science, Information Systems or a related field is required.</li></ul><p><b>Certifications (Preferred/Nice to Have)</b></p><ul><li><b>Databricks Certified Data Engineer / Architect</b></li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;501,672.41 - &#8377;1,845,896.21 per year</p><p>Work Location: Remote</p>

Sr. Data Engineer

TravelNet Solutions Inc

<div><div>Join TravelNet Solutions as a <b>Data Platform Architect!</b><br>
<br>
At TravelNet Solutions (TNS), we combine deep hospitality expertise with forward-thinking technology and a customer-obsessed mindset&hellip; to help property managers win! TNS is proud to be named an Inc.5000 Fastest Growing Company in America.<br>
<br>
This role is perfect for someone who is:<br>
<ul><li>A self-starter with tremendous initiative and a strong work ethic</li><li>An excellent communicator and collaborator across functional teams</li><li>Eager to make a high impact at a product-driven company</li><li>Adaptable, quick to embrace change, and a fast learner</li><li>Skilled in creative and critical thinking</li><li>Detail-oriented, even in a fast-paced environment</li><li>Passionate about technology and innovation</li></ul>
<br>
<b>About TravelNet Solutions</b><br>
For over 21 years, TravelNet Solutions has provided integrated software and marketing solutions for the hospitality industry, anchored by our flagship <b>Track Property Management System</b> and other products under the Track banner. Our single-vendor ecosystem equips growing vacation rental companies with all the enterprise-class tools they need to scale. With ongoing investments in platform development, 70+ integration partners, and a growing list of native features, Track empowers hospitality professionals to achieve digital transformation and operational excellence.<br>
<br>
Our <b>Core Values</b> reflect the behaviors that shape the tone of how we work with each other, our partners, and our customers:<br>
<br>
<ul><li>Serve Others: Nurturing growth to help others succeed</li><li>Grit: Taking ownership and never giving up on what matters most</li><li>Create the Future: Innovating to disrupt the status quo</li></ul><br>
<br>
Why Join Us?<br>
<ul><li>Be part of a fast-moving, dynamic team focused on growth and success.</li><li>Work alongside a talented, collaborative, and supportive team.</li><li>Work for a portfolio company offering a one-vendor solution for SaaS technology, marketing, and distribution.</li><li>Help reshape the hospitality industry through technology and service innovation.</li></ul>
<br>
Perks and Benefits:<br>
<ul><li>Full medical, dental, and vision coverage</li><li>Flexible Paid Time Off</li><li>Unlimited access to professional training and development</li><li>Health Savings Account with up to a $2,000 annual match</li><li>Up to $900 in Wellness Rewards annually</li><li>Flexible work environment</li><li>Free life insurance and long-term disability coverage</li><li>Flexible Spending Accounts</li><li>Retirement plan with employer match</li><li>Free snacks and soda in the office</li><li>$150 quarterly gift for personal use</li><li>Competitive wages</li><li>Work with an amazing team!</li></ul></div>
<div></div><div>The <b>Data Platform Architect </b>is responsible for defining, implementing, and evolving the end-to-end data architecture that powers our platform analytics, reporting, and data automation ecosystem.<br>
This role will design a scalable, automated <b>multi-tenant data warehouse</b> and pipeline architecture that integrates hundreds of tenant schemas from our <b>SaaS platform</b> into a centralized, governed, and cost-optimized analytics environment (AWS-based: Redshift, S3, Glue, Lake Formation, QuickSight).<br>
The ideal candidate combines deep data engineering expertise with <b>architectural systems thinking</b>&mdash;balancing automation, performance, and cost while ensuring accuracy, compliance, and scalability for every customer.</div>
<div><br>
<b>Duties and Responsibilities:</b><br>
<br>
<i>Architecture &amp; Design</i><br>
<ul><li>Architect a multi-tenant data platform capable of ingesting 500+ tenant schemas with automated onboarding/offboarding workflows</li><li>Design an end-to-end architecture that includes data lakes, warehouses, transformation pipelines, and semantic layers</li><li>Define data zone strategy (Raw Staging Serving), partitioning, and schema evolution patterns</li><li>Establish standards for data contracts, metadata cataloging, and lineage tracking across all tenants</li><li>Drive selection and configuration of core technologies (e.g., Redshift, Glue, S3, Lake Formation, dbt, Lambda, Airflow)</li><li>Collaborate with engineering and DevOps to ensure infrastructure as code (IaC) is applied to all data assets</li></ul>
<br>
<i>Pipeline &amp; Automation</i><br>
<ul><li>Design metadata-driven ingestion and transformation pipelines supporting incremental updates, schema drift, and tenant isolation.</li><li>Ensure pipelines are idempotent, self-healing, and fully integrated into CI/CD processes.</li><li>Partner with the Data Pipeline Engineers to deliver automated data onboarding, testing, and quality validation.</li></ul>
<br>
<i>Performance &amp; Cost Optimization</i><br>
<ul><li>Define workload management, clustering, and distribution strategies in Redshift or equivalent MPP systems.</li><li>Implement data lifecycle management policies to optimize storage and compute costs.</li><li>Continuously evaluate query performance, caching, and concurrency scaling options.</li></ul>
<br>
<i>Governance &amp; Security</i><br>
<ul><li>Implement data governance frameworks to ensure privacy, PII compliance, and secure tenant isolation</li><li>Partner with InfoSec to align encryption (KMS multi-region keys), object lock, and access control policies with SOC/PCI/GDPR standards.</li><li>Establish monitoring, alerting, and anomaly detection systems for data quality and operational stability.</li></ul>
<br>
<i>Collaboration &amp; Leadership</i><br>
<ul><li>Partner closely with Product, Engineering, and Analytics teams to ensure architecture aligns with business and product goals.</li><li>Mentor engineers on modern data platform practices (dbt, ELT, IaC, observability).</li><li>Act as a technical authority and evangelist for data platform best practices within the organization.</li></ul>
<br>
<b>Required Experience:</b><br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Engineering</b>, or related field; or equivalent professional experience.</li><li><b>8+</b> years in data engineering or data architecture, including at least <b>3 years architecting</b> cloud-native data platforms.</li><li>Proven success <b>building</b> and maintaining large-scale data pipelines using AWS Glue, Lambda, Step Functions, or Airflow.</li><li>Expertise in <b>Redshift, Snowflake</b>, or equivalent MPP databases, including workload management and query optimization.</li><li>Proficiency with S3-based<b> data lakes</b>, Glue Data Catalog, and Lake Formation.</li><li>Deep understanding of data modeling (Kimball/ELT) and <b>multi-tenant</b> system design.</li><li>Experience defining and enforcing <b>data governance</b> frameworks (PII, access control, lineage).</li><li>Proficiency with <b>infrastructure-as-code</b> (Terraform/CloudFormation) and CI/CD for data assets.</li><li>Strong <b>SQL </b>and <b>Python </b>skills; dbt experience preferred.</li><li>Familiarity with embedded <b>BI/analytics </b>tools (QuickSight, GoodData) and semantic layer concepts</li></ul><br>
<br>
Preferred Experience:<br>
<ul><li>Experience with schema-per-tenant architectures and automated tenant provisioning.</li><li>Familiarity with Auth0 / SSO integration for analytics tools (e.g., QuickSight embedding).</li><li>Experience implementing observability platforms (e.g., Datadog, CloudWatch, Monte Carlo, Soda Core)</li><li>Exposure to data mesh or domain-oriented design principles.</li><li>Prior experience in SaaS product ecosystems or hospitality / property-management data preferred</li></ul>
<br>
<b>Diversity and Inclusion:</b><br>
We celebrate diversity of thought, culture, and background and are committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, or veteran status or any other protected status under applicable federal, state, or local law. We comply with all applicable laws governing nondiscrimination in every location where we operate and encourage individuals from all backgrounds to apply.<br>
<br>
<b>Compensation:</b><br>
The typical starting salary range for this position is: $130-185k.<br>
The actual salary offer will consider multiple factors, including skills, experience, education, and location. Please note that the salary reflects the base amount only and does not include total compensation, such as discretionary bonuses and benefits.</div></div>

Data Platform Architect

Mercedes-Benz Group

<div><div><div><div><div><div><div><div>T&auml;tigkeitsbereich:IT / Telekommunikation</div></div><div><div>
Fachabteilung:IGroup Functions</div></div><div><div>
Gesellschaft:Mercedes-Benz Research and Development India Private Limited</div></div><div><div>
Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore</div></div><div><div>
Startdatum:01.01.2026</div></div><div><div>
Ver&ouml;ffentlichungsdatum:07.11.2025</div></div><div><div>
Stellennummer:MER0003TDA</div></div><div><div>
Arbeitszeit:Vollzeit</div></div></div></div><div><div><div>
</div></div></div></div></div></div><div><div><div><div>Aufgaben<div><div><p>
About the Company:</p><p>
Mercedes-Benz AG, a pioneer of automotive engineering, sees shaping the future of mobility in a safe and sustainable way as both a motivation and obligation. Mercedes-Benz is consistently implementing its strategy to transform itself toward a fully electric and software-driven future.</p><p>
Mercedes-Benz Research and Development India (MBRDI) is the largest research and development center for Mercedes-Benz Group AG outside of Germany. MBRDI&rsquo;s expertise includes developing new technologies like connected, autonomous and electric in the mobility world - driving digital acceleration, leading excellence in-car software and paving the way for sustainable mobility. MBRDI currently employs over 8500 professionals in the field of engineering, digitalisation, testing and simulation, and data science, with people at the heart of our culture. Our philosophy - When every individual shines in his or her own capabilities, we shine!</p><p>
Description</p><p>
RESPONSIBILITITES -</p><p>
Lead data engineering activities and process from demand management to design to implementation.<br>
Act as a trusted advisor to our internal partners (Business Units and IT teams), and proactively<br>
communicate operational status, issues &amp; risks in the projects to management.<br>
Conceptualize products for existing business problems with business covering full life Cycle -<br>
design thinking, business canvas, road map with open source first approach and build products.<br>
Lead internal consulting engagements, managing stakeholder expectations (Business Units) and<br>
monitor time to time and drive quality of deliverables.</p><p><br>
Cost Optimization of resources and effective planning at the beginning of the assignment and<br>
drive vendor management activities.</p><p><br>
Align and appropriately use Mercedes-Benz IT project management tools, governance,<br>
processes, policies and methodologies.</p><p><br>
Bring value-add by creating a culture of continuous improvement and innovation through PoCs,<br>
encourage best practices, challenge current practices, provide feedback to team &amp; colleagues.<br>
Active participation in Data communities, support inner source activities within the<br>
organizations. Know-how of the latest in the industry and its fitment in the current set up.<br>
Participation in organizational wide initiatives</p></div></div></div></div></div><p></p><div><div><div><br>
Qualifikationen<div><div><p>
Qualifications and Skills</p><p>
Mandatory</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology or equivalent work experience in the field of Data Engineering</li><li>Expertise in Data Engineering technologies such as SQL, ETL, Pipeline Orchestration, Data Lineage, Data Documentation, Azure Databricks, PySpark, Azure Data Factory etc..</li><li>Good knowledge of data architecture and Data Modelling patterns</li><li>Experience in working as a Data Engineering Architect / Lead: query tuning, performance tuning,</li></ul>
troubleshooting, and debugging.<ul><li>Familiarity with a full range of data engineering approaches, covering theoretical best</li></ul>
practices and the technical applications of these methods.<ul><li>Familiarity with databases and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases</li><li>Working knowledge of DevOps, CI/CD including deploying a range of data engineering pipelines into production, and testing techniques is a plus</li><li>Experience building additional solutions around the Data Engineering architecture</li><li>Working knowledge in Github</li><li>Agile development experience.</li><li>Strong in presentation, communication (written and verbal English), and interpersonal skills and comfortable in liaising with stakeholders independently</li><li>Ability to prioritize multiple tasks within a collaborative team environment</li><li>Proven ability leveraging analytical and problem-solving skills in a fast paced environment</li></ul><p><br>
Good to have</p><ul><li>knowledge of visualization tools (e.g. Power BI)</li></ul><p>
</p><p>Preferred Experience and Skills</p><ul><li>Microsoft Azure Certifications</li><li>Certified Databricks Associate Developer (preferably in Python) is highly preferable.</li><li>Working experience in SAFe - Scaled agile framework is a plus</li></ul></div></div></div></div></div></div><div><div><div>
Benefits</div><div></div><div><div><div>
Mitarbeiterrabatte m&ouml;glich</div><div></div><div>
Gesundheitsma&szlig;nahmen</div><div></div><div>
Mitarbeiterhandy m&ouml;glich</div><div></div><div>
Essenszulagen</div><div></div><div>
Betriebliche Altersversorgung</div><div></div><div>
Hybrides Arbeiten m&ouml;glich</div><div></div><div>
Mobilit&auml;tsangebote</div><div></div><div>
Mitarbeiter Events</div><div></div><div>
Coaching</div><div></div><div>
Flexible Arbeitszeit m&ouml;glich</div></div></div></div></div><div></div><div><div><div>
KontaktMercedes-Benz Research and Development India Private Limited<div><div>
Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort</div><div>
MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com</div></div></div></div></div></div><div></div>

Senior Data Engineer

ProClink

<div><div><b>Core Responsibilities:</b></div><div>
Define and own the overall data architecture strategy.</div><div>
Design scalable, secure, and high-performance data platforms and integration frameworks.</div><div>
Partner with engineering and business teams to align architectural decisions with strategic goals.</div><div>
Evaluate and recommend modern technologies, frameworks, and patterns for data processing and analytics.</div><div>
Ensure adherence to architectural standards, data governance, and security compliance.</div><div>
Lead solution design reviews and guide implementation of complex data systems across multi-cloud environments.</div><div>
Drive innovation in data architecture to enable advanced analytics, AI, and ML use cases.</div><div></div><div><b><br>
Qualifications:</b></div><div>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.</div><div>
12+ years of experience in data engineering and architecture roles.</div><div>
Deep expertise in designing data platforms on Azure, AWS, or GCP.</div><div>
Strong knowledge of data modeling, metadata management, and distributed data processing frameworks.</div><div>
Hands-on experience with warehouse, DataLake, DeltaLake, and Lakehouse data architectures.</div><div>
Ability to design and implement data ingestion from streaming and APIs</div><div>
Proven experience implementing CI/CD, infrastructure-as-code, and cloud security best practices.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
Professional level cloud certification (AWS, Azure, or GCP).</div><div>
Experience designing enterprise data mesh or data fabric architectures.</div><div>
Familiarity with data governance, lineage, and observability tools.</div><div>
Strong collaboration skills and ability to influence data-driven decisions across teams.</div></div><div></div>

Principal Data Architect - Data Engineering

Continental

<div></div><div><div><div><div><div><div><div><p>Your tasks
</p><div><div><ul><li>Govern data acquisition and ingestion architecture for enterprise-wide data &amp; analytics integration.</li><li>Establish reusable, scalable, and governed interfaces to all source systems across business domains.</li><li>Define standards and ensure engineering quality across ingestion pipelines and upstream data flows.</li><li>Act as escalation and design authority for ingestion, unstructured data, and advanced analytics integration points.</li><li>Oversees ingestion and integration design across 100+ data sources.</li><li>Supports 25+ data engineering and data science professionals with ingestion architecture and troubleshooting.</li><li>Interfaces with source system experts, data scientists, platform architects, and functional IT stakeholders.</li></ul><p></p><p><br>
Main Tasks</p><ul><li>Define ingestion frameworks for batch, streaming, and APIs.</li><li>Establish standards for JSON, CSV, XML, and unstructured data.</li><li>Govern manual uploads and exception workflows.</li><li>Collaborate with system owners to define interface specifications.</li><li>Manage schema evolution and API reliability.</li><li>Align ingestion architecture with platform and business requirements.</li><li>Collaborate on ingestion for data science and ML pipelines</li><li>Ensure robust API and event-driven integration for AI/LLM use cases.</li><li>Support complex acquisition scenarios with scalability requirements.</li><li>Review high-risk ingestion pipelines for performance and security.</li><li>Support data engineers on error handling, retries, and load orchestration.</li><li>Ensure ingestion aligns with governance and architecture.</li><li>Maintain ingestion libraries and templates.</li><li>Promote reuse and automation across engineering teams.</li><li>Lead best practices in TDD, code reviews, and pipeline testing.</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 Azure preferred.</p><p>
6&ndash;10 years in data engineering with strong focus on enterprise-scale data &amp; analytics integration, including ML and LLM scenarios.</p><p>
Experience building robust ingestion frameworks and reusable components.</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></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>REF87520Q</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 Engineering - Tech Lead

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div><div><div><div>Technical Architect with experience in designing data platforms, experience in one of the major platforms such as snowflake, data bricks, Azure ML, AWS data platforms etc.,</div>
</div><br>
</div></div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Solution Architect</div>
</div><div><div><b>Job Id</b></div>
<div>380271</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data architect</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

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