Data Engineer
1 week ago
This is a 12 months contract assigned to our client
Work Location: To be confirmed
Salary Range : $6,000-$8,500
Primary Skill: Extract Transform and Load (ETL)
**Job Description**:
1. Design, Develop, Test, Deploy and Administer Data Integration pipeline developed on ETL / ELT tools on Data Platform.
3. Provide analysis/evaluation of technical solutions recommended by the group to facilitate management decision.
4. Provide support during SIT, UAT roll-out and post-production whenever needed.
5. Ensure all aspects of security are respected at all times during the course of work.
6. To engage the other technical stakeholders
Must possess a strong background on the following technologies/skills:
1. Around 8+ years of experience in extracting, transforming, loading, and enhancing objects to ingest structured, semi-structured, and unstructured data sources;
2. Implementing, maintaining and optimizing data warehouses; and/or gathering and implementing user requirements.
3. Strong Hands on experience with complex Transformation based data pipelines designed & developed using Apache Spark & Python Structured data API / Library.
4. Hands on experience on designing, developing, testing ETL/ELT Jobs interacting with multiple storage formats - File (JSON,Avro, Parquet, ORC), DB (Postgres,MS SQLServer),
5. 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)
6. Extensive hands on experience in designing, building and executing data pipeline using ETL/ELT tool (eg Informatica BDM,BDQ)
7. Experience and knowledge on Access & Data Security - AD-LDAP-SAML- Kerberos-2FA IDP AuthN plus Data security through encryption, masking, filtering, anonymization
8. 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
9. Working experience on Agile Methodology & DataOps tools like JIRA, Jenkins, BitBucket, Autosys
10. Working knowledge of Linux operating system covering scripting & debugging.
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