● Participate in the customer’s system design meetings and collect the functional/technical requirements.
● Build up and deploy data pipelines for consumption by various teams as needed.
● Skillful in ETL process and tools.
● Clear understanding and experience with Python and PySpark , HIVE, Airflow, and Hadoop and RDBMS architecture
. ● Experience in writing Python programs and SQL queries.
● Experience in SQL Query tuning.
● Working knowledge of Apache Kafka in building streaming pipelines. ● Strong knowledge of the Azure data engineering ecosystem.
● Experienced in Shell Scripting(Unix/Linux).
● Build and maintain data pipelines in Spark/Pyspark with SQL and Python
● Knowledge of Azure technologies is required.
● Good to have knowledge of Kubernetes, CI/CD concepts.
● 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. ● Minimum 4+ years working with Pyspark, SQL, and Python.
● Minimum 3+ years working with Databricks, Data factory and Data lake
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon