Job Background/context

• Candidate should have around 6+ years development and system design experience.
• More than 5 years of experience in BigData technologies like spark, hive, python/java
• Strong experience in building ETL/data engineering solutions.
• Proven proactive problem solving & trouble shooting skills

Responsibilities:

• Design & develop Data engineering solutions using Big Data Technologies.
• Provide technical walk-throughs to various stakeholders
• Be able to work independently as well as within a team
• Works directly with end-users or a projects team to translate business requirements into technical specifications to drive Semantic layer and report
• Prioritize technical issue resolution.
• Works closely with management to prioritize business needs and stay up to date with the goals of the organization as they evolve. Also work with other departments to find new ways to improve opportunities
• Requirement gathering & understanding, effort estimation, technical design, project planning and monitoring
• Understand and analyze the data to find patterns and valuable business insights
• Required to review the day to day delivery work with the team, ensuring a robust process implementation, identifying project/program delivery risks and work on risk mitigation.

Mandatory Skills:

• Strong Knowledge in Spark, Java/Python
• Strong experience in Hive/SQL, PL/SQL
• Good Understanding of Big data Ecosystem
• Good Understanding of ETL & DW Concepts, Unix Scripting
• Good understanding of SDLC

Desirable Skills:

• Understanding of any ETL tool
• Understanding of any BI tool
• Cloud Computing AWS/Azure

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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