Description

You will design, build, and maintain scalable data pipelines and platforms supporting analytics, reporting, and machine learning.

This role is hybrid.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines.
• Develop and optimize data models for analytics and reporting.
• Ingest data from multiple sources, including APIs, databases, and streaming systems.
• Implement data orchestration and scheduling to ensure reliability.
• Ensure data quality, performance, and integrity across all pipelines.

Required Skills

• 3 years of experience as a Data Engineer.
• Strong proficiency in SQL and data modeling.
• Hands-on experience with Python or Scala.
• Experience with data warehouses such as Snowflake, Redshift, BigQuery, or Azure Synapse.
• Proficiency with ETL tools like Airflow, dbt, Glue, or Informatica.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of relational and NoSQL databases.
• Understanding of data lake architectures.
• Familiarity with Git and CI/CD practices.

Key Skills

Education

Not specified