Experience :

- 5-8 years (relevant experience may vary based on project needs)

Job Summary :

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and data platforms.

The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure reliable, high- quality data is available for analytics, reporting, and advanced AI/ML use cases.

Key Responsibilities :

- Design, develop, and maintain end- to- end data pipelines (batch and streaming)

- Build and optimize ETL/ELT workflows for structured and unstructured data

- Develop and manage data lakes and data warehouses

- Ensure data quality, integrity, security, and governance standards

- Optimize data processing for performance, scalability, and cost

- Work with cross- functional teams to understand data requirements

- Implement monitoring, logging, and alerting for data pipelines

- Support analytics, BI, and AI/ML teams with reliable data access

- Document data models, pipelines, and architecture

Required Skills :

Core Technical Skills :

- Strong proficiency in Python and/or SQL

- Experience with ETL/ELT tools (Airflow, dbt, Informatica, Talend, etc.)

- Hands- on experience with data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse)

- Experience building data lakes (S3, ADLS, GCS)

- Solid understanding of data modeling (star, snowflake, dimensional models)