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Requirements
Exp: 4 to 6 Years
Required Skills & Qualifications
Strong proficiency in Python (pandas, NumPy, SQLAlchemy, PySpark, etc.).
Proven experience with data engineering tools such as Apache Airflow, dbt, Spark, or Kafka.
Hands-on experience with SQL and relational databases (PostgreSQL, MySQL, BigQuery, Redshift).
Familiarity with data warehousing and data lake architectures.
Experience with cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.).
Solid understanding of ETL processes, data governance, and data quality principles.
Knowledge of version control (Git) and CI/CD pipelines.
Strong problem-solving, communication, and consulting skills.

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