T
Themathcompany
Lead Data Engineer
Skills
Google Cloud PlatformData EngineeringDatabricksAWSGitHubProcess ImprovementComplianceTerraformAzure
25 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
24 September 2026
What they need
Role & responsibilities
Job Responsibilities
- Responsible for leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure
- Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance
- Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive team environment
- Conduct regular performance reviews, provide feedback, and set goals for team members
- Identify and address skill gaps, and provide opportunities for professional development
- Plan, execute, and deliver data engineering projects on time and within scope
- Coordinate with stakeholders to gather requirements, set priorities, and define project timelines.
- Ensure projects align with overall business objectives and data strategy
- Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse
- Ensure data quality, integrity, and security across all data engineering projects. •
- Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations.
- Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
- Ability to build/drive reusable frameworks that can drive efficiency of the overall data system
- Has executed and lead multiple projects including on - streaming, batch, large data pipelines, etc.
- Manages conversation with the client stakeholders to understand the Internal Use Only requirement and translate it into technical outcomes.
Preferred candidate profile
- Strong experience with Databricks, Spark, and cloud platforms (Azure, AWS, GCP).
- Architect and deploy cloud-based data solutions (Azure, AWS, GCP).
- Define CI/CD strategies for data pipelines using Terraform, Azure DevOps, or GitHub Actions.
- Implement data cataloging, lineage tracking, and access control (Unity Catalog, Collibra, Alation).
- Ensure compliance with GDPR, CCPA, and industry-specific data security policies.
- Develop strategies for distributed computing, parallel processing, and caching mechanisms.
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