Fiftyfive Technologies
Data Engineer
Skills
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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