ETL Developer

Position Summary :

We are seeking a highly skilled

ETL Developer

with

5–8 years of experience

in data integration, transformation, and pipeline optimization. This role is a key part of our

Data Engineering function

within the Business Intelligence team, responsible for enabling robust data flows that power enterprise dashboards, analytics, and machine learning models. The ideal candidate has strong SQL and scripting skills, hands-on experience with cloud ETL tools, and a passion for building scalable data infrastructure.

Education Qualification :

B. Tech (CS, Elec), MCA or higher.

Key Responsibilities :

Design, develop, and maintain

ETL pipelines

that move and transform data across internal and external systems.

Collaborate with

data analysts, BI developers, and data scientists

to support reporting, modeling, and insight generation.

Build and optimize

data models and data marts

to support business KPIs and self-service BI.

Ensure

data quality, lineage, and consistency

across multiple source systems.

Monitor and tune performance of ETL workflows, troubleshoot bottlenecks and failures.

Support the migration of on-premise ETL workloads to

cloud data platforms

(e.g., Snowflake, Redshift, BigQuery).

Implement and enforce

data governance, documentation, and operational best practices .

Work with DevOps / DataOps teams to implement

CI / CD for data pipelines .

Required Qualifications :

5–8 years

of hands-on experience in ETL development or data engineering roles.

Advanced SQL skills and experience with

data wrangling

on large datasets.

Proficient with at least one

ETL tool

(e.g.,

Informatica ,

Talend ,

AWS Glue ,

SSIS ,

Apache Airflow , or

Domo Magic ETL ).

Familiarity with

data modeling

techniques (star / snowflake schemas, dimensional models).

Experience working with

cloud data platforms

(e.g., AWS, Azure, GCP).

Strong understanding of

data warehouse concepts , performance optimization, and data partitioning.

Experience with

Python or scripting languages

for data manipulation and automation.

Preferred Qualifications :

Exposure to

BI platforms

like Domo, Power BI, or Tableau.

Knowledge of

CI / CD practices

in a data engineering context (e.g., Git, Jenkins, dbt).

Experience working in

Agile / Scrum environments .

Familiarity with

data security and compliance

standards (GDPR, HIPAA, etc.).

Experience with

API integrations

and external data ingestion.