WAM-Python-Senior

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Primary Skills - Must have:

• Should have strong programming skills in Python.
• Experience in creating large scale data processing pipelines using a Python and Spark based framework.
• Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and Streaming
• Should possess strong SQL skills.
• Excellent understanding of Unix ecosystem and should have experience in creating the shell scripts.
• Excellent understanding of Hive/Hadoop ecosystem.
• Solid Understanding of data engineering concepts and best practices.
• Excellent understanding of Job Scheduling mechanisms like Autosys, TWS.
• Excellent problem solving and analytical skills.
• Excellent verbal and written communication skills.
• Experience in optimizing large data loads.

Secondary Skills - Desired skills

• Exposure to an Agile Development environment would be a plus.
• Strong understanding of Data warehousing domain.
• Ability to architect an ETL solution and data conversion strategy.
• Good understanding of dimensional modelling.

Roles and Responsibilities
As an ETL/ Python developer, the candidate is expected to

• Design and development of highly optimized and scalable ETL applications using Python and Spark.
• Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
• Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions).
• Analysis of existing designs and interfaces and applying design modifications or enhancements
• Coding and documenting data processing scripts and stored procedures.
• Providing business insights and analysis findings for ad-hoc data requests
• Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
• Providing reporting-line transparency through periodic updates on project or task status.
   

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