Senior Engineer (e-MG)
Core
Design and implement data quality frameworks, develop core software for data products, and build scalable data pipelines.
Role type
Senior Data Engineer (Big Data & Analytics)
Builds
Enterprise data lake, optimized data pipelines, reporting and analytics components
Domain
Financial Services / Big Data & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline architecture, Hadoop, Spark, Kafka, Hive, SQL, Python, Scala, Snowflake, Databricks, STAR schema modeling, CI/CD, Data warehouse design
Preferred skills
Vendor selection, Proof of concept development, Technical mentorship
Technologies
Hadoop, Spark, Kafka, Hive, Oracle, SQL Server, DB2, Snowflake, Databricks, IICS, Informatica, Zena
Responsibilities
Design and implement data quality frameworks; Develop core software for data products; Architect and build scalable data pipelines; Mentor junior engineers and provide technical guidance; Participate in recruitment and define interview processes; Contribute to engineering standards and DevOps practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
