About the role :
We are looking for a result-driven Senior Data Engineer to join our core data engineering team . The successful candidate should have in-depth knowledge in data engineering with the ability to share experience with the team. The company has recently started the Data Transformation Program involving broad-scale modernization of Data Architecture Data Governance and Data Exposition. The ultimate goal for this role is to apply best engineering practices in building end-to-end data pipelines and support transformation of the core data platform according to Data Lakehouse approach.
Responsibilities :
- Provide high quality code aligned with software engineering best practices
- Share experience with the team; encourage creating guidelines / policies
- Create data collection / ingestion / validation pipelines for various sources
- Sync with DataOps team to leverage the required CI / CD pipelines and integrations
- Work together with Data Architect to validate the target data architecture design
- Lead POCs
- Help the team to refactor the existing orchestration design in Airflow
Required skills & experience :
Hands on experience in implementation Data Lakehouse architectureAdvanced hands on Python skills is a mustAirflow is a mustSpark - nice to haveExperience with Apache Iceberg / Delta Lake- nice to haveHands on experience with AWS servicesAdvanced SQLDeep understanding of Data modelling; knowledge of medallion architecture is a plusTerraform - nice to haveGood understanding of Data Mesh principlesSnowflake experience is nice to haveGood understanding of Data Governance & Data Quality principlesKey Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Freelance
Experience : years
Vacancy : 1
Daily Salary Salary : 650 - 650