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Data Engineer @ Knack Consulting

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Knack Consulting  Data Engineer

Job Description

Key Responsibilities

  • Build and maintain scalable ETL/ELT pipelines.
  • Develop and enhance DBT models and transformations.
  • Perform data cleansing, validation, and quality checks.
  • Support cloud-based data engineering workloads (preferably GCP).
  • Write optimized SQL queries for analytics and data processing.
  • Collaborate with Data Engineers, Analysts, and Architects for requirement understanding. Monitor pipeline health, troubleshoot issues, and ensure data reliability.
  • Document workflows, models, and mappings.

Required Skills (Must Have)

  • Data Modeling understanding (Star/Snowflake).
  • Strong SQL skills.
  • Hands-on experience with DBT.
  • Experience with at least one major cloud platform: GCP (BigQuery, Dataflow, Dataproc, Composer, GCS preferred) OR AWS / Azure equivalent services.
  • Experience with data transformation and loading technologies.
  • Good knowledge of Python for data tasks.

Good to Have

  • PySpark or similar distributed data processing experience.
  • Exposure to Airflow / Cloud Composer.
  • Experience with Data Catalog / Dataplex (or similar metadata services).
  • Familiarity with CI/CD, Git, and version-controlled workflows.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Contract

Contact Details:

Company: Knack Consulting
Location(s): Hyderabad

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Keyskills:   Pyspark Snowflake Data Build Tool Data Engineer Python Azure Data Engineering GCP AWS SQL

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