Data Engineer / Senior / Lead

TechWise Digital; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

TechWise Digital in Mumbai, India is seeking a Senior Data Engineer / Lead Data Engineer to design, develop, and optimize scalable data platforms on AWS. You will build robust ETL pipelines and ensure data quality across production environments.

The ideal candidate has 3+ years of experience with AWS Glue, Lambda, Redshift, Aurora PostgreSQL, Kafka, SQS, Airflow, SQL and Python, and will collaborate with Data Leads, development teams, and stakeholders to deliver reliable data solutions.

Qualifications

• 3+ years of experience in data engineering or data platform roles.
• Experience designing and optimizing data pipelines on cloud platforms.

Responsibilities

• Design, develop and optimize scalable data platforms on AWS.
• Build robust ETL pipelines and ensure data quality across production environments.
• Troubleshoot production incidents and resolve data issues within SLA.
• Collaborate with Data Leads, Application Development and cross-functional teams.

Skills

Analytical thinking

Communication

Stakeholder management

Tools

AWS Glue

AWS Lambda

Redshift

Aurora PostgreSQL

MSK Kafka

AWS SQS

Apache Airflow

SQL

Python

Job description

Senior Data Engineer / Lead Data Engineer - AWS | 3+ Years

We are looking for an experienced Senior Data Engineer / Lead Data Engineer to design, develop, and optimize scalable data platforms and ETL pipelines on AWS. The ideal candidate should have 3+ years of experience with strong expertise in AWS Glue, AWS Lambda, Redshift, Aurora PostgreSQL, MSK Kafka, AWS SQS, Apache Airflow, SQL, and Python. You will be responsible for building high-performance data pipelines, optimizing data workflows, ensuring data quality, and managing production data environments. The role includes resolving P1/P2 production incidents within SLA, troubleshooting complex data issues, and collaborating with Data Leads, Application Development, and cross-functional teams to deliver reliable and scalable data solutions. Experience in production pipeline management, performance tuning, data warehousing, and cloud-native data engineering is essential. Strong analytical, problem-solving, communication, and stakeholder management skills are required.

Skills: aws,airflow,etl