Excellent communication and problem-solving skills
Technical Skills (Must Have)
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing
Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
Technical Skills (Valuable)
Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls
Containerization: Fair understanding of containerization platforms like Docker, Kubernetes
File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
Others: Basics of Job scheduler like Autosys. Basics of Entitlement management
Certification on any of the above topics would be an advantage.
Job Family Group
Technology
Job Family
Digital Software Engineering
Time Type
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