 
						Data Engineer
6 days ago
**Job Requirements and Qualifications**:
- Primary Skill: Extract Transform and Load (ETL)
- Around 8+ years of experience in extracting, transforming, loading, and enhancing objects to ingest structured, semi-structured, and unstructured data sources; implementing, maintaining, and optimizing data warehouses; and/or gathering and implementing user requirements.
- Strong hands-on experience with complex Transformation based data pipelines designed & developed using Apache Spark & Python Structured data API / Library.
- Hands on experience on designing, developing, testing ETL/ELT Jobs interacting with multiple storage formats - File (JSON,Avro, Parquet, ORC), DB (Postgres,MS SQLServer)
- Strong hands-on experience in Processing Framework - Spark 3.x (Core, structured API, Streaming, MLLib) Language & Package - Python (Scripting & PySpark), Scala using Spark API, Unix Shell, SQL Query (basic & advanced)
- Extensive hands on experience in designing, building and executing data pipeline using ETL/ELT tool (eg Informatica BDM, BDQ)
- Experience and knowledge on Access & Data Security - AD-LDAP-SAML- Kerberos-2FA IDP AuthN plus Data security through encryption, masking, filtering, anonymization
- Having a good understanding of Data Sourcing, Integration, Processing, Change Data Capture, Data Warehousing architectural design principles and Data Storage Model approach covering Stage, Raw, Refined, History & Schema Evolution
- Working experience on Agile Methodology & DataOps tools like JIRA, Jenkins, BitBucket, Autosys
- Working knowledge of Linux operating system covering scripting & debugging.
**Job Roles and Responsibilities**:
- Design, Develop, Test, Deploy and Administer Data Integration pipeline developed on ETL / ELT tools on Data Platform.
- Provide analysis/evaluation of technical solutions recommended by the group to facilitate management decision.
- Provide support during SIT, UAT roll-out and post-production whenever needed.
- Ensure all aspects of security are respected at all times during the course of work.
- To engage the other technical stakeholders
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