Description :

Role : Data Engineer

Location : Remote

Experience Required : 5 to 10 years

About the Role :

We are seeking an experienced Data Engineer to design, build, and maintain robust data pipelines and infrastructure. The ideal candidate will have a strong background in data integration, real-time and batch processing, and a deep understanding of modern data platforms across cloud environments.

Key Responsibilities :

- Design, develop, and maintain ETL/ELT pipelines to enable efficient data flow across systems.

- Ingest and transform data from various sources APIs, databases, files, and streaming platforms.

- Build and optimize real-time and batch data processing solutions.

- Implement data validation, quality, and cleansing frameworks to ensure accuracy and consistency.

- Translate business requirements into scalable data models and architectures.

- Ensure data security, access control, and compliance with organizational and regulatory standards.

- Collaborate with cross-functional teams to enhance data availability and usability.

- Maintain comprehensive documentation, enforce best practices, and contribute to continuous improvement initiatives.

Technical Skills & Tools :

- Cloud Platforms : AWS, GCP, Azure

- Data Warehousing : Snowflake, BigQuery, Redshift, Azure Synapse

- Data Lake & Processing : Databricks (Lakehouse, Spark), Apache Spark, Hadoop

- Data Integration & Workflow Tools : Airflow, dbt, Kafka, AWS Glue, Azure Data Factory

- Programming & Query Languages : Python (PySpark), SQL

- Data Quality & Governance : Informatica, Talend, Collibra

- Experience in real-time and batch pipeline development and management

What We Offer :

- Fully remote work environment

- Opportunity to work on cutting-edge data infrastructure

- Collaborative and growth-oriented culture