Responsible for designing and establishing the solution architecture for analytical platforms and or data-enabled solutions Has broad understanding of the entire data and analytics eco-system of tools and technologies with hands-on experience across all three core data domains of data science data engineering and data visualization Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team Contributes to the team s development velocity if necessary Understands how an organization s data platform integrates within the overall technical architecture Understands the business purpose the role fulfills and the roadmap for the lifecycle of an organization s systems Sets the direction and establishes the approach for integrating information applications and programs Roles Responsibilities Key Responsibilities Architect design and build scalable data architectures pipelines and data products Databricks AWS Design and develop enterprise data models manage the full data life cycle Extract transform and integrate data from SAP ECC S4HANA and other non-SAP environments Build solutions for real-time streaming and batch data workloads Define and implement data security governance and compliance standards Adapt and implement data quality and observability practices Perform performance tuning and cost optimization Support Operations teams in day-to-day business needs Collaborate with business and technical teams to understand requirements and deliver scalable data architecture solutions Desired Candidate Experience Minimum 5 years in data architecture data engineering roles Proven success in large-scale data environments - Delta Lake Medallion Architecture - DLT Pipelines - PySpark Workbooks - Spark SQL SQL Warehouse - Unity Catalog data governance lineage - Genie query performance indexing - Security Role-Based Access Control - Bonus MLflow knowledge - ER Dimensional modeling - Metadata management - Python SQL PySpark - S3 Lambda EMR Redshift Bedrock Databricks Lakehouse platform Data Modeling Programming AWS Cloud Services Competencies Values Integrity Accountability Inclusion Innovation TeamworkABOUT TE CONNECTIVITY TE Connectivity plc NYSE TEL is a global industrial technology leader creating a safer sustainable productive and connected future Our broad range of connectivity and sensor solutions enable the distribution of power signal and data to advance next-generation transportation energy networks automated factories data centers medical technology and more With more than 85 000 employees including 9 000 engineers working alongside customers in approximately 130 countries TE ensures that EVERY CONNECTION COUNTS WHAT TE CONNECTIVITY OFFERS We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs Charity Events Employee Resource Group SIGNIFICANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process All legitimate job openings are posted exclusively on our official careers website at te com careers and all email communications from our recruitment team will come only from actual email addresses ending in te com If you receive any suspicious communications we strongly advise you not to engage or provide any personal information and to report the incident to your local authorities Across our global sites and business units we put together packages of benefits that are either supported by TE itself or provided by external service providers In principle the benefits offered can vary from site to site

📌 Sr. Data Engineer (Karnataka)
🏢 TE Connectivity
📍 Karnataka