Senior Data Engineer
Core
Designing, building, and delivering enterprise-wide data ingestion, integration, and pipeline solutions for Big Data and Data Warehouse platforms.
Role type
Senior Data Engineer (Big Data & Data Warehouse)
Builds
Next-generation data platforms, data pipeline solutions, and data assets for a bank.
Domain
Banking / Big Data / Data Warehousing
Required skills
Big Data and Data Warehouse framework design, data pipeline development, data ingestion and integration, data quality assurance, data security, data management, technical leadership and mentoring, complex SQL scripting, Unix/Linux shell scripting, distributed data storage and processing.
Preferred skills
Cloudera CDP/Hadoop/Spark/Teradata/AWS/Ab Initio certifications, Ab Initio software product experience, AWS technology experience (EMR, Redshift, DocumentDB, S3), Teradata/Oracle/RDBMS data mart build experience.
Technologies
Cloudera Hadoop, Spark, MapReduce, Hive, Sqoop, Kafka, Teradata, RDBMS, Scala, Java, Python, AWS (EMR, Redshift, DocumentDB, S3), Ab Initio, Unix/Linux.
Responsibilities
Create technology blueprints and engineering roadmaps for multi-year data transformation journeys, execute state-of-the-art coding practices to solve core business objectives, lead and mentor other data engineers, own internal business stakeholder relationships, work with consultants, build group data products or data assets from scratch by integrating large sets of data from hundreds of sources.
Seniority
Senior, hands-on IC with leadership responsibilities.
