Description

You will design and maintain scalable data pipelines and architectures to support enterprise-level analytics.

Responsibilities

• Design and implement dimensional and fact tables, including conceptual, logical, and physical data models.
• Develop and maintain ETL workflows and data processing pipelines to extract, transform, and load data from various systems into the Enterprise Data Warehouse.
• Identify and implement data transformation and cleansing requirements to ensure data integrity and quality.
• Provide high-level design, estimates, and production support for data integration from source applications to BI solutions.
• Partner with BI teams to evaluate and develop reports and dashboards while supporting data governance processes.

Required Skills

• 4 to 7 years of professional experience in data engineering or data warehousing.
• Expertise in Google Cloud Platform (GCP) including BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS.
• Strong SQL background with proficiency in relational databases such as SQL Server, PostgreSQL, and MySQL.
• Experience with Informatica PowerExchange for Mainframe, Salesforce, and other data sources.
• Hands-on experience integrating data using APIs, XML, and JSON.
• Deep understanding of ETL frameworks, OLAP, Data Lakes, and database design/implementation.
• Proven ability to lead teams distributed across multiple locations.
• Strong knowledge of SDLC, Agile, and Scrum processes.
• Bachelor’s degree in Computer Science, a related field, or equivalent work experience.

Preferred Skills

• Knowledge of AWS and Azure Cloud environments.
• Experience with SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS).

Key Skills

Education

Any Graduate