Description

Architect scalable cloud data platforms and build high-performance batch and streaming data pipelines to support enterprise analytics.

This role is on-site.

Responsibilities

• Design and implement ETL/ELT solutions using Informatica, SnapLogic, Azure Data Factory, and Python.
• Build lakehouse and data warehouse solutions for comprehensive data storage and analysis.
• Develop scalable semantic data models to support business intelligence and analytics requirements.
• Optimize SQL queries and database performance for efficient data processing and retrieval.
• Implement DataOps and CI/CD practices to streamline development, deployment, and data quality validation.

Required Skills

• 5+ years of experience in data engineering with a focus on cloud data platforms.
• Proficiency in Big Data technologies and Apache Spark.
• Strong command of SQL and database performance tuning.
• Experience with Oracle, Snowflake, and Azure ecosystem services.
• Hands-on expertise with ETL tools including Informatica, SnapLogic, and Azure Data Factory.
• Ability to design and implement high-performance batch and streaming data pipelines.

Preferred Skills

• Experience with platform engineering, multi-tenant database design, and data modeling.
• Familiarity with advanced SQL, Azure SQL Managed Instance, and MySQL.
• Knowledge of DataOps, CI/CD, and automated data quality validation tools.

Key Skills

Education

Any Graduate