Senior Data Engineer/ Lead Data Engineer/ Data Engineer

Altimetrik; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Altimetrik in Bengaluru is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, Snowflake, and AWS. You will work with cross-functional teams to build efficient ETL/ELT workflows and ensure high-quality data for analytics.

Responsibilities include integrating data from multiple sources, optimizing data processing, and monitoring pipeline performance to support business applications.

Qualifications

• Proficiency in Python and SQL.
• Hands-on Snowflake experience (warehousing, tuning, modeling).
• Experience with AWS services such as S3, Lambda, Glue, Redshift, EC2 or EMR.
• Experience building scalable ETL/ELT pipelines.
• Strong understanding of data modeling and data quality.
• Knowledge of Git and CI/CD is a plus.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and SQL.
• Build and optimize data solutions on Snowflake.
• Develop cloud-based data workflows using AWS services.
• Integrate data from multiple sources ensuring quality and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.
• Monitor, troubleshoot, and optimize data pipeline performance.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Data quality

Git & CI/CD

Tools

Snowflake

AWS

Git & CI/CD

Job description

We are looking for a skilled Data Engineer with strong experience in Python, SQL, Snowflake, and AWS to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will work closely with cross-functional teams to build efficient ETL/ELT workflows, optimize data processing, and ensure high-quality, reliable data for analytics and business applications.

Required Skills:

• Strong proficiency in Python and SQL
• Hands-on experience with Snowflake (data warehousing, performance tuning, data modeling)
• Experience with AWS services such as S3, Lambda, Glue, Redshift, EC2, or EMR
• Experience building and maintaining scalable ETL/ELT pipelines
• Good understanding of data modeling, data quality, and optimization
• Knowledge of Git and CI/CD is a plus

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python and SQL.
• Build and optimize data solutions on Snowflake.
• Develop cloud-based data workflows using AWS services.
• Integrate data from multiple sources while ensuring data quality and reliability.
• Collaborate with cross-functional teams to support analytics and business requirements.
• Monitor, troubleshoot, and optimize data pipeline performance.Role & responsibilities