Data Engineer

We are looking for a skilled Data Engineer to design, build, and maintain scalable data infrastructure. You will work closely with data scientists, analysts, and software engineers to ensure reliable data pipelines and clean, accessible datasets. Your work will directly support data-driven decision-making across the organization.

Key Responsibilities:
Design, develop, and manage ETL/ELT pipelines to ingest, transform, and load data from various sources

Develop and maintain data warehouses and data lakes

Ensure data quality, governance, and consistency across platforms

Collaborate with stakeholders to gather data requirements and deliver business-ready datasets

Optimize data processing performance and storage costs

Implement data security and compliance best practices (e.g., GDPR, HIPAA)

Support real-time data streaming and batch processing pipelines

Automate workflows and monitoring for data processes

Work with tools like Apache Airflow, dbt, Spark, Kafka, etc.

Qualifications:
Required:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

2–5+ years of experience in data engineering or related roles

Proficiency in SQL and Python

Experience with data warehouses (e.g., Snowflake, Redshift, BigQuery)

Familiarity with cloud platforms (AWS, Azure, or GCP)

Strong knowledge of ETL frameworks and data modeling (dimensional, star schema, etc.)