Data Engineer

4 days ago

Greater Bengaluru Area, India People Impact Full time ₹ 10,00,000 - ₹ 25,00,000 per year

Role ; Data Engineer

Experience: 3+yrs

Location: Bangalore

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Role Overview

We are seeking a skilled
Data Engineer
to design, build, and maintain scalable data solutions that empower analytics, business intelligence, and machine learning initiatives.

The ideal candidate will be experienced in
data architecture, pipeline development, and visualization
, with a passion for transforming raw data into actionable insights.

You will collaborate with cross-functional teams to develop reliable, high-performing data systems that support enterprise-wide decision-making.

Key Responsibilities
Data Engineering & Analytics

  • Design and maintain robust
    ETL pipelines
    for structured and unstructured data.
  • Develop and optimize
    data lakes and warehouses
    using platforms such as
    Databricks, Azure Synapse, Snowflake, BigQuery, or Redshift
    .
  • Ensure
    data quality, governance, and performance optimization
    across systems.
  • Implement both
    batch and real-time data processing
    solutions using
    Spark, Kafka, or Hadoop
    .
  • Translate business requirements into
    data models, metrics, and dashboards
    .
  • Build
    interactive dashboards and visualizations
    using
    Power BI, Tableau, or Looker
    .
  • Conduct
    exploratory data analysis
    and develop reports using
    Python and SQL
    .
  • Collaborate with
    data science teams
    to prepare and deliver structured data for AI/ML models.

Collaboration & Documentation

  • Work closely with
    engineering, product, and business teams
    to align on key KPIs and analytics requirements.
  • Document
    data workflows, models, and analysis outputs
    for transparency and reuse.

Required Skills & Expertise

  • Programming:
    Proficiency in
    Python (Pandas, NumPy, PySpark)
    and
    SQL
    .
  • ETL & Workflow Orchestration:
    Hands-on experience with
    Airflow, dbt, Azure Data Factory
    .
  • Data Platforms:
    Deep understanding of
    Databricks, Synapse, Snowflake, BigQuery, Redshift, and cloud storage systems (S3, ADLS, GCS)
    .
  • Big Data Technologies:
    Working knowledge of
    Spark, Hadoop, and Kafka
    .
  • Visualization Tools:
    Expertise in
    Power BI, Tableau, or Looker
    .
  • Cloud Ecosystems:
    Experience with
    AWS, Azure, or GCP
    .
  • Strong foundation in
    data modeling (Star/Snowflake schemas)
    and
    query optimization
    .
  • Analytical mindset with a focus on solving business problems using data.

Preferred / Good-to-Have Skills

  • Experience with
    MLOps
    and
    machine learning pipelines
    (Databricks, Azure ML).
  • Exposure to
    API-based integrations
    and
    microservices data flows
    .
  • Familiarity with
    CI/CD
    ,
    Git
    , and
    DevOps
    practices.
  • Understanding of
    data security
    ,
    compliance
    , and
    governance frameworks
    (GDPR, HIPAA).
  • Strong communication skills with the ability to
    simplify complex data insights
    for business stakeholders.

Qualifications

  • Bachelor's or Master's degree in
    Computer Science, Data Engineering, Statistics, or a related field
    .
  • Minimum
    3+ years of hands-on experience
    in
    data engineering and analytics
    within large-scale data environments.

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