About this role
Data Engineer II facilitates seamless data integration and model maintenance, enhances data pipelines and database designs, supports production environments, ensures compliance with enterprise standards, and fosters collaboration while implementing basic partitioning and indexing solutions for Big Data management.
Education Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
- Knowledge of Big Data / NoSQL design and development with variety of data stores.
- Knowledge of database management system products and ecosystem – e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
- Knowledge of distributed (multi-tiered) systems, algorithms, and relational & non-relational database
Work Experience:
- Data engineering and 4+ years of experience in development.
- Have good experience in performance tuning of large data processing in both batch and real-time.
- Experience in SQL and Python (or any other programming language like Java)
- Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Cloud Spanner) as appropriate.
- Experience in NoSQL databases (e.g., Hbase, BigTable)
- Experience in performance tuning in the Big Data space
- Experience in distributed (multi-tiered) systems, algorithms, and application development
- Experience in database development and support of online transaction processing and/or online analytical processing systems
- Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development etc.)
- GCP Certificate will be good add-on.