Senior Data Engineer

Enlighten Hacks - Community for Growth

Mumbai Suburban

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A technology consulting firm is looking for a Senior Data Engineer in Mumbai to design and maintain scalable data infrastructures. The ideal candidate will have 4+ years of data engineering experience, strong SQL skills, and proficiency in AWS services. This full-time role offers the opportunity to collaborate with various teams to deliver best-in-class data solutions in a dynamic environment.

Qualifications

4+ years of data engineering experience.
Strong SQL skills and hands-on experience with cloud data warehouses.
Expertise in ETL/ELT processes, batch, and streaming data pipelines.

Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines using SQL and Python.
Orchestrate data workflows using Dagster.
Collaborate across teams to enable self-service analytics.

Skills

AWS

Python

SQL

ETL/ELT

Dagster

DBT

Tools

Snowflake

BigQuery

Redshift

Docker

Kubernetes

Job description

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Enlighten Hacks - Community for Growth provided pay range

This range is provided by Enlighten Hacks - Community for Growth. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Job Title: Senior Data Engineer

Employment Type: Full-Time

Experience Required: 4+ Years

About The Role

TTF is seeking an experienced Senior Data Engineer to build and maintain scalable, secure data pipelines and infrastructure. You will collaborate with data science, analytics, and product teams to deliver best-in-class data solutions using modern cloud and orchestration technologies, ensuring compliance with security and regulatory standards.

Key Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines using SQL and Python.
Orchestrate data workflows using Dagster (and legacy Airflow).
Collaborate across teams to enable self-service analytics and meet data requirements.
Implement streaming, batch, and Change Data Capture (CDC) data flows.
Use DBT for data transformation and modeling aligned to business needs.
Monitor data quality, troubleshoot issues, and optimize pipelines.
Ensure adherence to security, privacy, and compliance standards.

Required Skills & Experience

4+ years of data engineering experience.
Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift).
Expertise in ETL/ELT processes, batch, and streaming data pipelines.
Proficient with AWS data services (S3, DMS, Glue, Athena).
Experience with DBT for data modeling and transformation.
Fluent in English communication.

Preferred Qualifications

Experience with additional AWS services: EC2, ECS, EKS, VPC, IAM.
Familiarity with Infrastructure as Code (Terraform, Terragrunt).
Proficiency in Python for data engineering tasks.
Knowledge of orchestration tools such as Dagster, Airflow, or AWS Step Functions.
Understanding of pub-sub and streaming frameworks (AWS Kinesis, Kafka, SQS, SNS).
Experience with CI/CD pipelines and automation.

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