Data Engineering & Analytics

Job Description

Roles & Responsibilities

We are looking for an experienced Data Engineer to build and maintain scalable data pipelines, data integration solutions, and analytics platforms that support enterprise reporting, advanced analytics, and AI initiatives.

Key Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines and data workflows.
• Build and maintain data warehouses, data lakes, and data processing platforms.
• Implement batch and real-time data processing solutions.
• Ensure data quality, consistency, security, and reliability.
• Optimize data models, SQL queries, and pipeline performance.
• Collaborate with data scientists, analysts, and application teams.

Required Skills: Python, SQL, ETL/ELT, Apache Spark, Airflow, Data Modeling, Snowflake/Databricks, Cloud Data Platforms (AWS/Azure/GCP), and Data Quality Management.

Desired Candidate Profile

Suitable for: Intermediate Data Engineer.