Job Posting Title: SR. DATA ENGINEER
Job ID: 154637
Band/Level: 5-2-C
Education Experience: Bachelors Degree (High School +4 years)
Employment Experience: 7-10 years
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
Roles & Responsibilities
- Architect declarative pipelines (Databricks Lakeflow/DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Build production-grade Python/PySpark transformations across SAP (ECC/S/4HANA – FI, CO, SD), Hyperion/OneStream, Oracle, and AWS sources; decode SAP ABAP programs (RFCs, Z-reports, BW extractors) into modern Databricks pipelines.
- Orchestrate pipelines using Databricks Workflows, MWAA, Step Functions, or Fabric Data Factory with robust error handling, alerting, and SLA monitoring.
- Design optimized Microsoft Fabric semantic models (Direct Lake, star schema, DAX, RLS, incremental refresh) for high-performance finance reporting and Tableau-to-Power BI/Fabric migrations.
- Build Genie Spaces/Databricks AI/BI Genie on curated Gold-layer finance datasets to enable natural-language analytics for FP&A, Controllership, AR/AP, and Treasury functions.
- Develop and deploy AI applications using LangChain, LangGraph, RAG, and Vector Search, including multi-agent finance assistants for AR triage, revenue forecasting, and variance analysis, served through Databricks Apps and Model Serving (Claude Sonnet/Opus, AWS Bedrock).
- Automate end-to-end finance processes, including SAP data extraction (with GUI scripting), month-end close, variance analysis, AR aging, backlog reporting, revenue tracking, and margin workflows.
- Act as a strategic consultant to senior finance stakeholders by gathering requirements, framing business problems, building business cases, and creating BRDs, HLDs, LLDs, runbooks, and KPI dictionaries.
- Establish architecture standards, conduct root cause analysis (RCA) for data and platform issues, close lineage and KPI gaps, and drive long-term structural improvements.
- Mentor engineers and BI analysts while partnering with Enterprise Architecture, OneData, FP&A Technology, InfoSec, and Cloud Engineering teams to drive POCs in Agentic AI, RAG, MCP servers, and finance copilots.
Desired Candidate
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or Finance; MBA, B.Com, or CA qualification in Finance is a strong advantage.
- 8–10 years of experience in Data Architecture, Data Engineering, and AI integration using Python.
- Extensive hands-on experience with Microsoft Fabric (Semantic Models, Direct Lake, OneLake, Data Factory) and Databricks (Unity Catalog, Delta Lake, DLT/Lakeflow, Workflows, Genie, Model Serving, Vector Search).
- Strong expertise in Python and PySpark, including production-grade coding, modular package development, unit testing, CI/CD implementation, and observability practices.
- Proven experience building AI applications using LangChain, LangGraph, and Retrieval-Augmented Generation (RAG), and deploying solutions through Databricks Apps and Model Serving (Claude Sonnet/Opus, AWS Bedrock).
- Strong understanding of SAP data domains (FI, CO, SD) with the ability to interpret and decode SAP ABAP programs; highly preferred.
- Hands-on experience with AWS services (S3, Redshift, Bedrock, Lambda, SageMaker, Step Functions, OpenSearch), Oracle, Hyperion/OneStream, Power BI (DAX), and Tableau.
- Deep knowledge of Medallion Architecture, Lakehouse and Data Mesh design patterns, and enterprise data governance frameworks, including Unity Catalog, Microsoft Purview, Row-Level Security (RLS), and Column-Level Security (CLS).
- Strong finance domain expertise across FP&A, Controllership, Accounts Receivable (AR), Accounts Payable (AP), Revenue, Backlog, Cost, Margin, and Treasury functions.
- Strategic and consultative mindset with demonstrated ability to gather requirements, facilitate workshops, build business cases, and present to senior leadership; experienced in Root Cause Analysis (RCA), Gap Analysis, Cost-Benefit Analysis, and Risk Assessment.
- Proven track record of automating enterprise-scale finance processes using SAP GUI Scripting, Power Automate, and Python.
- Familiarity with MCP servers, Copilot Studio, Claude Cowork, and emerging Agentic AI platforms; strong mentoring, collaboration, and stakeholder management skills within global teams, coupled with a demonstrated ability to learn quickly.
Competencies
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, 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 enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
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
IMPORTANT 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.
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India