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Data Engineer

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Onsite

Data Engineer

Fiftyfive Technologies

Data Engineer

Skills

SQL QueriesData EngineeringPythonSnowflakeGitApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


Data Engineer
Job Summary

We are looking for a skilled Data Engineer with 2–3+ years of experience and strong hands-on expertise in Microsoft Azure, SQL, Python, Snowflake, and modern data engineering practices. The ideal candidate should have experience building and optimizing scalable data pipelines, working with cloud-based data platforms, and supporting data integration, transformation, and analytics initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines for processing large volumes of data.
  • Develop data integration and transformation workflows using Azure data services.
  • Build and optimize data models, data warehouses, and data lake solutions.
  • Write efficient and scalable SQL queries and Python scripts for data transformation and automation.
  • Work with Snowflake for data warehousing, data loading, query optimization, and performance tuning, where applicable.
  • Develop and maintain workflow orchestration and data pipeline processes.
  • Implement CI/CD practices and deployment automation using Azure DevOps.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and other business stakeholders.
  • Ensure data quality, security, governance, and reliability across data platforms.
  • Troubleshoot and resolve data pipeline, data quality, and performance-related issues.
  • Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Required Skills & Qualifications

  • 2–3+ years of experience in Data Engineering or related roles.
  • Strong hands-on experience with Microsoft Azure and Azure Data Engineering services.
  • Strong proficiency in SQL and Python.
  • Good understanding of ETL/ELT, data pipelines, data warehousing, and data lake concepts.
  • Hands-on experience with Azure DevOps, including version control, CI/CD pipelines, and deployment automation.
  • Experience working with cloud-based data solutions and modern data engineering practices.
  • Hands-on experience with Snowflake is highly preferred.
  • Strong problem-solving and analytical skills.
  • Good communication and collaboration skills.
  • Experience working in Agile/Scrum environments.

Preferred Qualifications

  • Experience with Apache Airflow or other workflow orchestration tools is a plus.
  • Experience with large-scale data migration and modernization projects is a plus.
  • Knowledge of data governance and security best practices.
  • Relevant Azure, Snowflake, or cloud certifications are a plus.

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