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Data Engineer

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Onsite

Data Engineer

Prasanz

Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeGoogle BigQueryAmazon RedshiftAIAWSdbtApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Back to Open Positions

Data & AI

Data Engineer

Full-Time Hyderabad, India (Offshore) Posted 6/23/2026

Primary Technology Stack

PythonApache SparkSnowflakeSQLApache AirflowdbtAWS

About The Role We are hiring a Data Engineer to design, deploy, and monitor our data pipeline systems. You will orchestrate reliable ETL/ELT workflows, manage data warehouse schemas, and ensure engineering teams have access to clean transactional data.

Key Responsibilities

  • Design and scale distributed data pipelines using Python, Apache Spark, and SQL.
  • Model data warehouse structures in Snowflake, maintaining star-schemas and analytical indices.
  • Orchestrate complex pipeline dependencies using Apache Airflow and transform data using dbt.
  • Build pipelines to ingest structured, semi-structured, and streaming payloads.
  • Implement data validation layers, monitoring schema changes and database errors.

Required Qualifications

  • 4+ years of experience in a dedicated Data Engineering or Data Platform role.
  • Mastery of SQL query design, database optimization, indexing, and warehouse partitioning.
  • Hands-on experience building pipelines with Apache Spark, Airflow, and dbt.
  • Solid experience working with cloud data warehouses (Snowflake, AWS Redshift, or Google BigQuery).
  • Experience writing clean, modular Python pipelines following software engineering standards.

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