Data Engineer

Summary

Experienced Data Engineer with 3 years of expertise in designing, developing, and optimizing end-to-end data pipelines, with a strong focus on
cloud-based solutions using AWS and Microsoft Azure platforms.
Skilled at building scalable, production-grade ETL processes using tools like AWS Glue, Azure Data Factory (ADF), and Talend Open Studio, resulting
in improved data ingestion, transformation, and reporting capabilities.
Hands-on experience with big data technologies such as Azure Databricks, PySpark, and Spark SQL, contributing to faster processing of large
datasets for downstream analytics.
Demonstrated excellence in data warehousing, data lakes, and data governance, ensuring high standards of data integrity, security, and
compliance with industry regulations.
Proficient in data visualization and reporting using tools like PowerBI, AWS QuickSight, enabling effective communication of insights to business
stakeholders and leadership..

Expectations

Im looking for a role where I can apply my data engineering skills to solve real-world problems, work on scalable data pipelines using modern tools like Azure Data Factory, Databricks, and Snowflake, and collaborate with a team that values continuous learning, innovation, and data quality. I also expect to grow professionally by taking on challenging projects and learning from peers and mentors in a supportive environment.

Employment Preferences

Expected Base Salary

*,*00,000 INR

Academic Degree

Experience

Skills

• Python
• Pyspark
• SQL Azure Databricks
• Azure Data Factory
• Data Warehousing
• ETL
• Data Engineering
• CI
• CD
• Git