Data Engineer

Bachelors' degree in Computer Science, Engineering, Information Technology, or related area 7+ years' experience on ETL Development Tools: Spark / Java (preferred), Python, Ab Initio, Informatica Advanced experience & demonstrated proficiency in Spark. Experience with Apache Beam, Cloud Data Flow, Dataproc, Cloud Composer and Big Query 3+ years' experience in Big Data technologies , Distributed Multi-tier Application Development, Database Design, Data processing, Data Warehouse. Requires strong ability writing/interpreting/tuning/debugging complex SQL queries and stored procedures. Working knowledge in API and Microservices is a plus. Strong data profiling, data analysis, and data validations skills. Deep DBMS experience on multiple platforms (Incl. Oracle, Teradata, and SQL Server). Advanced understanding of data warehousing ETL concepts (esp. change data capture). Working experience as Agile developer and good understanding of SDLC methodologies/guidelines. Experience at developing complex UNIX shell scripts. Experience with GIT or similar source code versioning tools and coding standards. Experience with scheduling tool such as Autosys or similar tools. Experience documenting business requirements, functional specifications, and test plans. Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals. Eagerness to learn new technologies. Experience in Banking Industry.

Bachelors' degree in Computer Science, Engineering, Information Technology, or related area 7+ years' experience on ETL Development Tools: Spark / Java (preferred), Python, Ab Initio, Informatica Advanced experience & demonstrated proficiency in Spark. Experience with Apache Beam, Cloud Data Flow, Dataproc, Cloud Composer and Big Query 3+ years' experience in Big Data technologies , Distributed Multi-tier Application Development, Database Design, Data processing, Data Warehouse. Requires strong ability writing/interpreting/tuning/debugging complex SQL queries and stored procedures. Working knowledge in API and Microservices is a plus. Strong data profiling, data analysis, and data validations skills. Deep DBMS experience on multiple platforms (Incl. Oracle, Teradata, and SQL Server). Advanced understanding of data warehousing ETL concepts (esp. change data capture). Working experience as Agile developer and good understanding of SDLC methodologies/guidelines. Experience at developing complex UNIX shell scripts. Experience with GIT or similar source code versioning tools and coding standards. Experience with scheduling tool such as Autosys or similar tools. Experience documenting business requirements, functional specifications, and test plans. Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals. Eagerness to learn new technologies. Experience in Banking Industry.

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