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UG :- - Not Required
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No of position :- ( 1 )
Post :- 5th Aug 2023
• Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
• Drive adoption of the these data tools to modernize existing ETL frameworks/processes
• Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
• Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
• 10+ years of experience in data engineering.
• Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
• Hands on experience with schema design and data modeling.
• 10+ years of software development in a major language .
• 3 plus years of experience to common Python packages, such as PySpark.
• Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata.
• Have a software engineering mindset and strive to write maintainable, and testable code.
• Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores.
• Experience with performance tuning data transformations across large data sets.
• Exceptional problem solving skills & Excellent communication skills.
• Understanding of the Agile methodology.