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    Job · 17565350

    PUNE · FULLTIME

    Associate Delivery Manager - Data Engineer

    Bajaj Finserv Health logo

    Bajaj Finserv Health

    Pune · onsite · Posted 38d ago

    Sourced fromFoundit
    Not disclosed5–7 yrsfulltimePune

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    Section · 01

    About this role

    Location Name: Pune Corporate Office - Mantri

    Job Purpose

    To effectively design, develop, and manage data solutions using ETL technologies such as Azure Databricks (ADB) , Azure Data Factory (ADF) and SQL along with leading 3 to 5 members of developers

    Duties And Responsibilities

    KEY RESPONSIBILITIES

    •  Lead the end-to-end design, development, and delivery of scalable data engineering solutions using Azure Databricks, ADF, PySpark, SQL, and Delta Lake.
    •  Convert business requirements into robust technical designs, architecture documents, data models, and implementation plans.
    •  Own technical delivery of data integration, ETL, lakehouse, semantic layer, and AI/BI enablement initiatives.
    •  Guide and mentor data engineers on coding standards, design best practices, performance optimization, and reusable framework development.
    •  Review technical designs, code, pipelines, and deployment plans to ensure quality, scalability, maintainability, and compliance.
    •  Drive architecture decisions for batch and near-real-time data pipelines across Bronze, Silver, and Gold layers.
    •  Ensure data quality, reconciliation, anomaly detection, and timely resolution of production issues through effective RCA and permanent fixes.
    •  Optimize data pipelines, Databricks jobs, SQL queries, and storage usage to improve performance and reduce cost.
    •  Implement CI/CD practices, version control, automated deployments, and environment management across Dev, QA, and Production.
    •  Collaborate with PMO, business stakeholders, BI teams, InfoSec, DevOps, and external partners for smooth project execution.
    •  Establish SOPs, engineering standards, reusable components, monitoring frameworks, and documentation practices.
    •  Track delivery progress, manage technical dependencies, prioritize work, and ensure timely closure of project milestones.
    •  Support adoption of modern data platforms, semantic modeling, metrics layer design, and GenAI/BI capabilities.
    •  Ensure compliance with data governance, security, access control, audit, and enterprise data management standards.
    •  Act as the technical escalation point for critical issues, complex solutioning, and cross-team dependency resolution.

    Key Decisions / Dimensions

    KEY DECISIONS / DIMENSIONS

    •  Define semantic layer design and metric definitions
    •  Prioritize data vs AI optimization trade-offs
    •  Handle production issues with RCA and long-term fixes
    •  Drive architectural decisions for lakehouse + Data integration

    Major Challenges

    MAJOR CHALLENGES

    •  Ensuring Data Delivery within TAT
    •  Driving adoption of GenAI-based BI over traditional dashboards
    •  Balancing performance, cost, and scalability
    •  Managing dependencies across data engineering, AI, and business teams

    Required Qualifications And Experience

    REQUIRED SKILLS & EXPERIENCE

    Must Have

    •  Azure Databricks – PySpark, SQL, Delta Lake
    •  Strong experience in Semantic Modeling & Metrics Layer design
    •  Hands-on with Databricks workflows
    •  Pyspark (Pandas, PySpark, FastAPI)
    •  Azure Data Factory (ADF) for ETL pipelines
    •  Strong SQL and data modeling skills

    Good to Have

    •  Cosmos DB / MongoDB (NoSQL concepts)
    •  Azure Data Explorer (KQL)

    DATA STACK (MANDATORY FOR SCREENING)

    SNo Data Platform / Concepts Associated Technologies

    1 Databricks Lakehouse PySpark, SQL, Delta Lake

    2 AI for BI Databricks Genie, Genie Rooms, Instructions, Agents

    4 ETL & Orchestration Azure Data Factory

    5 Programming Pyspark

    6 Cloud Platform Azure (Preferred)

    10 DevOps CI/CD Pipelines, Git

    Sourced from foundit

    Section · 02

    Skills

    CI/CD PipelinesDeltaAzure Data ExplorerSemantic ModelingDatabricks WorkflowsPysparkNoSQL conceptsSQLPandasAzure Data FactoryAzure DatabricksGITFastAPIMetrics Layer design

    Section · Company

    About Bajaj Finserv Health

    Bajaj Finserv Health logo

    Bajaj Finserv Health

    Internet

    1.0k+

    employees

    2019

    7 years old

    Pune, Maharashtra

    India

    About

    Company Overview

    Bajaj Finserv Health is a health-tech company providing access to preventive, personalized & affordable healthcare for all. It is an all in one healthcare application where you can get a wide range of healthcare services such as accessing personalized healthcare plans, finding doctor clinics near you, booking appointment, storing your health records, and a lot more. At Bajaj Finserv Health, we are trying to change the way Indians access Healthcare. If you want to tackle hard and interesting problems at scale, and create an impact within an entrepreneurial environment, Join us!

    Website: https://bajajfinservhealth.in/

    Video links (App video) https://youtu.be/M2QHvaBC_z8

    Bajaj Finserv Health Launch https://youtu.be/IrL_GDlCUhQ

    Industries

    Internet

    Employee ratings

    272 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    3.1

    Work-life

    3.5

    Employees rate it well for

    Work Culture34Salary27Work Life Balance25Senior Management24Learning19

    Find them on

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