Senior Data Engineer
2 months ago
Job Description :
Mandatory Skills : Microsoft Azure, Hadoop, Spark, Databricks, Airflow, Kafka, Py spark
Requirements :
- Experience working with distributed technology tools for developing Batch and Streaming pipelines using SQL, Spark, Python, Airflow, Scala, Kafka
- Experience in Cloud Computing, e.g., AWS, GCP, Azure, etc.
- Able to quickly pick up new programming languages, technologies, and frameworks.
- Strong skills building positive relationships across Product and Engineering.
- Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
- Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.
- Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
- Experience working with Data platforms, including EMR, Airflow, Data bricks (Data Engineering & Delta Lake components)
- Experience working in Agile and Scrum development process.
- Experience in EMR/ EC2, Data bricks etc.
- Experience working with Data warehousing tools, including SQL database, Presto, and Snowflake
- Experience architecting data product in Streaming, Server less and Microservices Architecture and platform.
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