Seagate Technology is seeking a Senior Data Engineer / ETL Developer to design, develop, and support scalable enterprise data integration and data warehouse solutions. The ideal candidate will have strong experience with Informatica IICS, Informatica PowerCenter, Azure Data Factory, Snowflake, SQL, PL/SQL, and cloud data pipelines . Key Responsibilities Design, develop, and maintain enterprise ETL/ELT pipelines using Informatica IICS, PowerCenter, and Azure Data Factory. Build scalable data pipelines to ingest, transform, validate, and load structured and semi-structured data. Develop and optimize Snowflake, SQL Server, Oracle, and Teradata data solutions. Create complex

SQL/PL/SQL

queries, stored procedures, views, and data-validation scripts. Develop reusable Informatica mappings, workflows, taskflows, mapplets, worklets, and parameter-driven processes. Implement dimensional data models including fact tables, dimensions, data marts, surrogate keys, and SCD Type 1/Type 2 . Integrate data from APIs, databases, flat files, CSV, XML, and JSON sources. Implement data-quality controls, reconciliation, duplicate detection, control totals, and source-to-target validation. Optimize ETL mappings, Snowflake queries, database workloads, lookup caches, partitioning, and workflow execution. Schedule and monitor production workloads using Control-M and Azure Data Factory . Troubleshoot pipeline failures, data discrepancies, and production issues and perform root-cause analysis. Collaborate with business analysts, architects, DBAs, application teams, and reporting teams. Participate in Agile/Scrum SDLC activities, technical design, testing, deployment, and production support. Required Qualifications 3+ years of experience in Data Engineering, ETL Development, or Data Integration . Strong hands-on experience with Informatica PowerCenter and/or IICS . Strong experience with Azure Data Factory . Advanced SQL and PL/SQL skills. Experience with Snowflake and enterprise data warehouses. Experience with dimensional modeling and SCD Type 1/Type 2. Experience developing complex ETL workflows and data pipelines. Strong data-quality, reconciliation, testing, and troubleshooting skills. Experience with batch scheduling and production support. Preferred Qualifications Experience with Databricks and PySpark . Python scripting experience. Microsoft Azure experience. Experience with REST APIs and cloud data integration. Experience with Control-M and ServiceNow. Experience with telecom, technology, healthcare, or other large enterprise data environments. Azure Data certification. Why This Role Fits Jyothi Jyothi's current role at Seagate involves Informatica IICS, Azure Data Factory, Snowflake, SQL Server, ETL/ELT pipelines, dimensional modeling, data quality, performance tuning, and production support , making this a particularly strong match. Her earlier experience also includes high-volume telecom ETL, Informatica PowerCenter/IICS, SQL/PL/SQL, SCD processing, enterprise warehouses, Control-M, and production support.

Benefits:

Relocation assistance

Work Location:

Hybrid remote in Longmont, CO 80501

Pay:

$123,000.00 - $149,000.00 per year

Benefits:

401(k) 401(k) matching Dental insurance Health insurance Paid time off Parental leave

Work Location:

In person