Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
We are seeking a

Senior Data Engineer

to join our fast-growing data engineering team supporting a large-scale healthcare and nonprofit analytics program for a US-based client. This role will focus on building and optimizing cloud-native data pipelines using AWS services to support analytics, reporting, and stakeholder decision-making.
You will work closely with architects, analysts, and product teams to integrate disparate data sources, ensure data quality, and deliver business-critical data solutions at scale.

Key Responsibilities

  • Design and implement robust, scalable

    ETL/ELT pipelines

    using AWS-native tools
  • Ingest and transform data from multiple sources into

    S3

    , applying schema discovery via

    AWS Glue Crawlers

  • Develop and orchestrate workflows using

    Apache Airflow

    ,

    AWS Step Functions

    , and

    Lambda functions

  • Build and optimize data models in

    Amazon Redshift

    for analytics consumption
  • Manage and enforce

    IAM-based access control

    , ensuring secure data practices
  • Write clean, modular, and reusable code in

    PySpark

    and

    SQL

    for large-scale data processing
  • Implement monitoring, alerting, and CI/CD pipelines to improve deployment efficiency and reliability
  • Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights
  • Participate in code reviews and knowledge-sharing activities across teams.
  • Understands scrum and comfortable working in an Agile environment.

Required Skills

  • 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably

    AWS

    )
  • Hands-on experience with

    S3

    ,

    Redshift

    ,

    Glue (ETL & Crawlers)

    ,

    Lambda

    ,

    Step Functions

    , and

    Airflow

  • Strong programming skills in

    PySpark

    and

    SQL

  • Experience designing and implementing

    data lakes

    ,

    data warehouses

    , and

    real-time/near-real-time pipelines

  • Familiarity with

    DevOps

    ,

    CI/CD pipelines

    , and infrastructure as code tools (e.g., Git, CloudFormation, Terraform)
  • Understanding of

    data governance

    ,

    data security

    , and

    role-based access control

    in cloud environments
  • Strong problem-solving skills and ability to work independently as well as collaboratively
  • Excellent written and verbal communication skills

Nice to Have

  • Experience working in domains such as nonprofit, healthcare, or campaign marketing
  • Familiarity with AWS Notebooks, Athena, and CloudWatch
  • Exposure to data observability tools, testing frameworks, or event-driven architectures
  • Experience mentoring junior engineers or leading small teams

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Srijan logo
Srijan

Information Technology and Services

New Delhi

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