IT BUSINESS ANALYST II (Bangalore, KA, IN, _)

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Overview</b></H2> </div><div>TE Connectivity’s IT Business Analysis Teams analyze complex business problems to be solved with automated systems. They provide technical expertise in identifying, evaluating and developing systems and procedures that are cost effective and meet user requirements. They also configure system settings and options; plan and execute unit, integration and acceptance testing, create specifications for systems to meet business requirements and design details of automated systems. At times, TE’s IT Business Analysis Teams may provide consultation to users in the area of automated systems and lead cross-functional linked teams to address business or systems issues.</div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Roles &amp; Responsibility:</b></H2> </div><div><p>•10+ years of experience in Data Engineering, Data Warehousing, and Cloud Data Platforms. <br>•Expert-level SQL for data modeling, query optimization, and performance tuning. <br>•Strong Python development skills for building scalable and maintainable data solutions. <br>•Hands-on experience with AWS services including Lambda, S3, IAM, Glue, and related data services. <br>•Strong experience designing and implementing ETL/ELT pipelines and data integration frameworks. <br>•Good working knowledge of Databricks, Spark, and modern data lake/lakehouse architectures.<br>•Ability to translate complex business requirements into scalable data solutions.<br>•Experience working with multiple source systems to deliver reliable, high-quality data assets for analytics and reporting.<br>•Strong stakeholder management skills and ability to mentor junior engineers.<br>•Experience leading technical design, architecture discussions, and best practices for data engineering platforms.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Competencies</b></H2> </div><div><div>Values: Integrity, Accountability, Inclusion, Innovation, Teamwork</div></div></div></div>