Data Engineer (Face-to-Face Interview @ Chennai)

Qruize Inc; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology company is looking for a skilled Data Engineer in Chennai. The ideal candidate should have strong hands-on experience in Python, AWS cloud services, and SQL. Responsibilities include developing data pipelines, optimizing ETL workflows, and ensuring data reliability and performance. This is an excellent opportunity for those looking to work in a dynamic and challenging environment.

Qualifications

• Excellent knowledge of SQL and experience with stored procedures.
• Hands-on experience with AWS cloud platforms.
• Experience in ETL development, data integration, and data warehousing.
• Good understanding of data architecture and data modeling.

Responsibilities

• Develop and maintain data pipelines and ETL workflows using Python.
• Write and optimize SQL queries and stored procedures for data processing.
• Implement and manage data pipelines on AWS services such as S3, Lambda, Glue, and Redshift.
• Collaborate with analytics and business teams to deliver high-quality data solutions.
• Ensure data accuracy, reliability, and performance.
• Troubleshoot and optimize data workflows and performance bottlenecks.

Skills

SQL

AWS cloud platforms

ETL development

data integration

data warehousing

data architecture

data modeling

Tools

Airflow

Snowflake

Databricks

Git

Job description

Data Engineer (Face-to-Face Interview @ Chennai)

We are looking for a skilled Data Engineer with strong hands‑on experience in Python coding, AWS cloud services, and SQL (stored procedures).

The selected candidate will work on designing, building, and optimizing scalable data solutions and pipelines.

Key Responsibilities

• Develop and maintain data pipelines and ETL workflows using Python.
• Write and optimize SQL queries and stored procedures for data processing.
• Implement and manage data pipelines on AWS services such as S3, Lambda, Glue, and Redshift.
• Collaborate with analytics and business teams to deliver high‑quality data solutions.
• Ensure data accuracy, reliability, and performance.
• Troubleshoot and optimize data workflows and performance bottlenecks.

Required Skills

• Excellent knowledge of SQL and experience with stored procedures.
• Hands‑on experience with AWS cloud platforms.
• Experience in ETL development, data integration, and data warehousing.
• Good understanding of data architecture and data modeling.

Preferred Skills

• Exposure to Airflow, Snowflake, or Databricks.
• Knowledge of API integration, JSON/XML, and version control tools (e.g., Git).