Engineering Manager - Data Engineering
New
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 10+ years in software/data engineering, 2+ years in management/leadership
- Required Skills
- PythonSQLGCPJavaScalaBigQuery
Requirements
- 10+ years of experience in software engineering, data engineering, analytics engineering, or platform engineering roles.
- 2+ years of experience in engineering management or technical team leadership.
- Strong hands-on experience designing and building scalable data platforms and pipelines.
- Deep expertise in Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer/Airflow.
- Strong proficiency in SQL and at least one programming language (Python, Java, or Scala).
- Experience with ETL/ELT pipelines, data modeling, warehouse design, and workflow orchestration.
- Strong understanding of data quality, monitoring, lineage, governance, and production SLAs.
- Excellent communication skills with the ability to influence both technical and non-technical stakeholders.
Responsibilities
- Lead, mentor, and grow a high-performing data engineering team, including hiring, onboarding, performance management, and career development.
- Define and drive the technical roadmap for scalable data infrastructure on Google Cloud Platform, ensuring reliability, security, and cost efficiency.
- Architect and oversee data pipelines, data models, warehouses, and lakehouse systems supporting analytics and operational use cases.
- Establish engineering best practices around code quality, testing, observability, documentation, and incident response.
- Partner with product, analytics, and business stakeholders to translate requirements into scalable technical solutions and delivery plans.
- Own data governance, quality, lineage, and compliance practices to ensure trustworthy and secure data systems.
- Manage execution planning, sprint prioritization, and delivery timelines while balancing short-term needs with long-term platform evolution.
- Drive cross-functional collaboration and communicate technical decisions, risks, and trade-offs clearly across all levels of the organization.
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