Data Engineer

Role & responsibilities

Data Engineer

Location: Chennai / Bangalore

Experience:6+ Years

Employment Type: Full-Time

Preferred candidate profile

Job Summary

We are seeking a talented Data Engineer to build and maintain scalable data solutions that support analytics, reporting, and business intelligence initiatives. The ideal candidate will have strong experience in data engineering, ETL development, cloud platforms, and big data technologies.

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines and ETL/ELT processes.

Build scalable and reliable data solutions for batch and real-time data processing.

Integrate data from various sources including databases, APIs, cloud platforms, and third-party systems.

Develop and optimize data models, data warehouses, and data lakes.

Ensure data quality, consistency, security, and governance across platforms.

Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

Collaborate with data analysts, data scientists, and business stakeholders to understand requirements.

Support data migration, transformation, and modernization initiatives.

Implement best practices for data architecture and engineering.

Maintain technical documentation and operational procedures.

Required Skills

4+ years of experience in Data Engineering.

Strong hands-on experience in:

Python

SQL

ETL/ELT Development

Data Warehousing

Data Modeling

Azure/AWS Cloud Platforms

Experience with one or more of the following:

Azure Databricks

Azure Data Factory (ADF)

Azure Synapse Analytics

Apache Spark / PySpark

Snowflake

Kafka

Airflow

Strong understanding of data lake and lakehouse architectures.

Experience with Git and CI/CD practices.

Knowledge of data governance, security, and compliance standards.

Preferred Skills

Experience working with large-scale data processing environments.

Exposure to real-time streaming technologies.

Cloud certifications (Azure Data Engineer Associate, AWS Data Analytics, etc.).

Experience with Power BI, Tableau, or other reporting tools.

Knowledge of DevOps and Infrastructure as Code (Terraform, ARM Templates).