Senior Data Engineer
3 weeks ago
Job Requirements :
- Participate in the customer's system design meetings and collect the functional and technical requirements.
- Build up data pipelines for consumption by the data science team.
- Skillful in ETL processes and tools.
- Clear understanding and experience with Python and PySpark or Spark and SCALA, with HIVE, Airflow, Impala, and Hadoop and RDBMS architecture.
- Experience in writing Python programs and SQL queries.
- Experience in SQL query tuning.
- Experienced in Shell Scripting (Unix/Linux).
- Build and maintain data pipelines in Spark/Pyspark with SQL and Python or SCALA.
- Knowledge of cloud (Azure/AWS/GCP, etc.) technologies is additional.
- Good to have knowledge of Kubernetes, CI/CD concepts, Apache Kafka
- Suggest and implement best practices in data integration.
- Guide the QA team in defining system integration tests as needed.
- Split the planned deliverables into tasks and assign them to the team.
- Needs to Maintain/Deploy the ETL code and follow the Agile methodology
- Needs to work on optimization wherever applicable.
- Good oral, written, and presentation skills.
Preferred Qualifications :
- Degree in Computer Science, IT, or similar field; a Master's is a plus.
- Hands-on experience with Python and Pyspark
- Hands-on experience with Spark and SCALA.
- Great numerical and analytical skills.
- Working knowledge of cloud platforms such as MS Azure, AWS, etc.
- Technical expertise with data models, data mining, and segmentation techniques.
(ref:hirist.tech)-
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