Job Description

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Job description (Staff Data Engineer / DE Manager)

Designation: Project Manager

Job Location: Gurgaon

Experience: 8 - 10 years

Role:

The job holder should have experience in building modern data platforms from the ground up. The successful candidate will build and maintain cloud-centric data processing capabilities that unleash the value of data assets to gain competitive advantage in the marketplace. They will be a hands-on contributor in the design and implementation of our cloud data platform that powers advanced analytics workloads.

The Staff Data Engineer provides technical leadership by facilitating design sessions, driving design decisions, leading code reviews as well as mentoring and coaching junior engineers. They are comfortable challenging assumptions to improve existing solutions and ensure the team is building the best scalable and cost-efficient product.

Key responsibilities:

• Lead architecture, design and development of end-to-end Cloud based solutions supporting data integration, ingestion, curation, publication, observability, and data delivery at scale.
• Champion a culture of reliable, reusable and scalable code with a comprehensive understanding of OOD principles.
• Develop API-based, CDC, batch and real-time data pipelines for structured and unstructured data.
• Partner with product owners and other technical leaders on roadmap planning, sizing, and estimates.
• Attract and nurture talent, mentor and develop a world-class engineering team.

• University degree in Computer Science, Mathematics, Engineering, or related field.
• 10+ years of experience in software engineering with strong focus on data.
• 5+ years of people management experience and ability to build and develop a high performing team.
• Experience working with Cloud data platforms, preferably AWS (Lambda, Step Functions, S3, AWS Glue, Athena, Redshift).
• An expert in Python and SQL, including query optimization for relational, NoSQL and columnar databases.
• Sound knowledge of CI workflows and build/test/deploy automation.
• Strong understanding of data modelling concepts and best practices.
• Relevant experience with IaC (Terraform, CloudFormation)
• Relevant experience with modern big data processing and orchestration tools such as dbt and Airflow.
• A great teammate and self-starter, strong detail orientation is critical in this role.