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Senior Manager - Data Engineering

Senior Manager - Data Engineering

Decisiontree Analytics & Services

12 - 17 years

40 - 45 Lacs

gurugram

Posted:1 day ago| Platform:

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Skills Required

computer science performance tuning data modeling coding analytical project delivery analytics sql python data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Senior Manager - Data Engineering

Job Role

As a Senior Data Engineering Manager, you will be responsible for leading a team of data engineers, owning data architecture decisions, and delivering robust data pipelines and integrations across cloud ecosystems. The ideal candidate has deep experience in Azure data services, PySpark-based processing, and modern API-driven architectures.

Key Responsibilities

Lead and mentor a team of data engineers working on large-scale data pipelines and platforms.
Architect and design end-to-end data solutions using different cloud platforms like Azure/ AWS/ Google.
Guide development of high-performance ETL/ELT pipelines using PySpark and Spark SQL.
Integrate data from internal and third-party sources using REST APIs and streaming technologies.
Collaborate with product, analytics, and business stakeholders to define data strategy and delivery timelines.
Ensure best practices in coding, testing, deployment, and data governance.
Own platform scalability, performance tuning, and cost optimization on Azure.
Stay ahead of data engineering trends and technologies to continuously enhance the data stack.

Qualification & Skills Required

Bachelor s degree in Computer Science, Engineering, Mathematics, and other business/analytical disciplines
12+ years of experience in data engineering, with at least 5+ years in a leadership or managerial role.
4+ years of experience on Azure ecosystem (Data Factory, Data Lake, Synapse, Databricks, etc.).
Strong hands-on experience with Azure / AWS/ Google cloud ecosystem.
Proficiency in PySpark, Spark, Python, and distributed data processing frameworks.
Experience working with REST APIs for data ingestion/integration.
Deep understanding of data architecture, data modeling, and data warehousing concepts.
Proven ability to lead cross-functional teams and manage project delivery timelines.
Excellent problem-solving skills and ability to balance strategic thinking with execution.
Experience with CI/CD for data pipelines.
Exposure to other big data tools (Kafka, Airflow, Snowflake).
Familiarity with DevOps and infrastructure-as-code tools.
Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).

Core Competencies Required

Communication
Adaptability
Planning & Execution
Collaboration
Continual Learning

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Senior Manager - Data Engineering