Senior Data Engineer

TechNET IT Recruitment Ltd; India; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

TechNET IT Recruitment Ltd is seeking a Senior Data Engineer to design and implement enterprise-scale cloud data solutions for global organizations. You will work on modern data platforms, large-scale data environments, and complex cloud transformation programs.

The role emphasizes hands-on data engineering with Python and SQL, ETL/ELT pipelines, and experience with Azure, AWS, or GCP, plus tools like Databricks, Snowflake, Spark/PySpark, and Synapse.

Qualifications

• 4+ years of hands-on experience in Data Engineering.
• Strong Python and SQL skills.
• Experience building ETL/ELT pipelines.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Hands-on with Databricks, Snowflake, Spark, ADF, or Synapse.
• Knowledge of data warehousing, data modeling, and large-scale processing.

Responsibilities

• Design and develop scalable data pipelines and cloud data solutions.
• Build data processing workflows across modern cloud and lakehouse platforms.
• Develop and optimize batch and real-time data processing solutions.
• Integrate data across multiple enterprise systems and sources.
• Drive performance, scalability, and reliability of data platforms.
• Contribute to cloud migration and data modernization initiatives.

Skills

Data engineering

Python

SQL

Tools

Databricks

Snowflake

Spark / PySpark

Azure Data Factory

Synapse

Job description

We are hiring Senior Data Engineers for enterprise-scale cloud data engineering and modernization initiatives with leading global organizations. The role offers an opportunity to work on modern data platforms, large-scale data environments, and complex cloud transformation programs.

What We Are Looking For

• 4+ years of hands-on experience in Data Engineering.
• Strong expertise in Python and SQL.
• Experience developing and optimizing ETL/ELT pipelines.
• Strong experience with Azure, AWS, or GCP.
• Hands-on experience with one or more of Databricks, Snowflake, Spark/PySpark, Azure Data Factory, or Synapse.
• Strong understanding of data warehousing, data modeling, and large-scale data processing.

What You Will Work On

• Design and develop scalable data pipelines and cloud data solutions.
• Build data processing workflows across modern cloud and lakehouse platforms.
• Develop and optimize batch and real-time data processing solutions.
• Integrate data across multiple enterprise systems and sources.
• Drive performance, scalability, and reliability of data platforms.
• Contribute to cloud migration and data modernization initiatives.

Preferred Experience

Kafka, Delta Lake, Airflow, streaming technologies, CI/CD, or data governance.

Notice Period

Immediate to 30 days preferred.

Contract

Long-term contract opportunity with strong potential for extension.

Please note

We review applications based on relevant skills, experience, and expertise. As applications are reviewed on a weekly basis, we appreciate your patience during the process. If your profile aligns with the requirements of the role, our team will be in touch to discuss the next steps.