Data Analyst - Tech

2 - 7 years

6 - 7 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Draup - Multi-Dimensional Global Labor & Market Data Data Analyst - Tech

Job Summary

We are looking for a highly skilled

Big Data & ETL Tester

to join our data engineering and analytics team. The ideal candidate will have strong experience in

PySpark

,

SQL

, and

Python

, with a deep understanding of

ETL pipelines

,

data validation

, and

cloud-based testing on AWS

. Familiarity with

data visualization tools like Apache Superset or Power BI

is a strong plus.
You will work closely with our data engineering team to ensure data availability, consistency, and quality across complex data pipelines, and help transform business requirements into robust data testing frameworks.

Key Responsibilities

  • Collaborate with big data engineers to validate data pipelines and ensure data integrity across ingestion, processing, and transformation stages.
  • Write complex

    PySpark

    and

    SQL

    queries to test and validate large-scale datasets.
  • Perform

    ETL testing

    , covering schema validation, data completeness, accuracy, transformation logic, and performance testing.
  • Conduct root cause analysis of data issues using structured debugging approaches.
  • Build automated test scripts in

    Python

    for regression, smoke, and end-to-end data testing.
  • Analyze large datasets to track

    KPIs

    and performance metrics supporting business operations and strategic decisions.
  • Work with data analysts and business teams to translate business needs into testable data validation frameworks.
  • Communicate testing results, insights, and data gaps via reports or dashboards (Superset/Power BI preferred).
  • Identify and document areas of improvement in data processes and advocate for automation opportunities.
  • Maintain detailed documentation of test plans, test cases, results, and associated dashboards.

Required Skills and Qualifications

  • 2+ years of experience in

    big data testing

    and

    ETL testing

    .
  • Strong hands-on skills in

    PySpark

    ,

    SQL

    , and

    Python

    .
  • Solid experience working with

    cloud platforms

    , especially

    AWS (S3, EMR, Glue, Lambda, Athena, etc.)

    .
  • Familiarity with

    data warehouse

    and

    lakehouse

    architectures.
  • Working knowledge of

    Apache Superset

    ,

    Power BI

    , or similar visualization tools.
  • Ability to analyze large, complex datasets and provide actionable insights.
  • Strong understanding of data modeling concepts, data governance, and quality frameworks.
  • Experience with automation frameworks and CI/CD for data validation is a plus.

Preferred Qualifications

  • Experience with

    Airflow

    ,

    dbt

    , or

    other data orchestration tools

    .
  • Familiarity with

    data cataloging tools

    (e.g., AWS Glue Data Catalog).
  • Prior experience in a product or SaaS-based company with high data volume environments.

Why Join Us?

  • Opportunity to work with cutting-edge data stack in a fast-paced environment.
  • Collaborate with passionate data professionals driving real business impact.
  • Flexible work environment with a focus on learning and innovation.
EAIGG Draup is a Member of the Ethical AI Governance Group
As an AI-first company, Draup has been a champion of ethical and responsible AI since day one. Our models adhere to the strictest data standards and are routinely audited for bias.
Ready to see results?

Drive better decisions with unmatched, real-time data & agentic intelligence

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