Data Engineer – Data Migration & Analytics
Core
Design and execute end-to-end data migration projects and build analytics solutions for clients, focusing on ETL development, data quality, and cloud platform implementation.
Role type
Data Engineer (Data Migration & Analytics)
Builds
ETL pipelines, data migration solutions, and client-facing data reports
Domain
Professional Services / Data Engineering
Required skills
SQL, Python, PySpark, ETL development, data modeling, data warehousing, data cleansing, data profiling, cloud platforms (Azure/AWS/GCP/Databricks), HTML/CSS/JavaScript
Preferred skills
Banking domain knowledge, advanced cloud expertise
Responsibilities
Develop and maintain ETL processes for data extraction, transformation, and loading; Write SQL queries for data validation and reporting; Build data processing scripts using Python and PySpark; Perform data cleansing, profiling, and quality checks; Document data flows and technical solutions; Act as liaison with clients to troubleshoot data issues; Support testing, deployment, and continuous improvement of data solutions; Define source-to-target mapping and transformation rules for data migrations; Perform reconciliation checks through cutover and go-live.
Seniority
Mid-level, hands-on IC