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04/09 HR
Talent Lead at PlanetSpark

Views:494 Applications:87 Rec. Actions:Recruiter Actions:46

PlanetSpark - Data Engineer (2-5 yrs)

Gurgaon/Gurugram Job Code: 973905

Responsibilities:

- Create and maintain optimal data pipeline architecture

- Assemble large, complex data sets that meet business requirements

- Identifying, designing and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes

- Work with Data, Analytics & Tech team to extract, arrange and analyse data

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies

- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition

- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

- Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues

- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Skill Requirements:

- SQL

- Ruby or Python(Ruby preferred)

- Apache-Hadoop based analytics

- Data warehousing

- Data architecture

- Schema design

- ML

Experience Requirement:

- Prior experience of 2 to 5 years as a Data Engineer.

- Ability in managing and communicating data warehouse plans to internal teams.

- Experience designing, building, and maintaining data processing systems.

- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.

- Excellent analytic skills associated with working on unstructured datasets.

- Ability to build processes that support data transformation, workload management, data structures, dependency and metadata.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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