Data Engineer

Walk-in Drive | Data Engineer (2+ Years Experience)

Date:

Role & Responsibilities

• 2+ years of experience in

  Data Engineering, Pipeline Ownership, and Quality Assurance

  .
• Hands-on expertise in

  building, testing, and maintaining data pipelines

  .
• Proficient in

  Azure Data Factory (ADF)

  ,

  Azure Databricks (ADB)

  , and

  PySpark

  for data orchestration and large-scale data processing.
• Strong skills in

  SQL

  for data validation, profiling, and schema checks.
• Experience in

  big data validation

  including schema enforcement, data integrity checks, and automated anomaly detection.
• Ability to

  design and implement automated test cases

  to improve pipeline efficiency.
• Sound understanding of

  Medallion Architecture (Raw, Bronze, Silver, Gold)

  for structured data flow management.
• Hands-on experience with

  Apache Airflow

  for workflow orchestration and monitoring.
• Good knowledge of

  Python

  for data quality scripts, automation, and ETL validations.
• Familiarity with

  CI/CD pipelines

  for deploying and automating data workflows.
• Awareness of

  data governance and data security

  practices within the Azure ecosystem.

Preferred Candidate Profile

• Minimum

  2 years of hands-on experience

  in Data Engineering.
• Available for

  face-to-face interview on 22nd October

  between

  10 AM 2 PM

  .
• Strong analytical and problem-solving mindset with attention to data quality and accuracy.
  

Dont miss this opportunity to join a dynamic data engineering team!

Email