Senior Data Engineer

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines to ingest data from multiple source systems.
• Build and optimize data models, SQL queries, stored procedures, and database objects.
• Integrate data from APIs, cloud storage, relational databases, and third-party platforms.
• Transform, cleanse, validate, and enrich data to ensure accuracy and consistency.
• Develop and support cloud-based data warehouse solutions.
• Maintain pipeline performance, troubleshoot failures, and resolve data-quality issues.
• Optimize data-processing workflows for scalability, reliability, and performance.
• Collaborate with business analysts, architects, and stakeholders to understand data requirements.
• Support reporting, dashboards, analytics, and downstream applications.
• Document data flows, technical designs, and operational procedures.
• Participate in code reviews, testing, deployment, and production support.

Requirements

• Strong experience with SQL and data warehousing.
• Hands-on experience with ETL/ELT tools such as Matillion, Talend, Fivetran, or similar platforms.
• Experience with cloud data platforms such as Snowflake, Redshift, Azure, or AWS.
• Experience working with Python, PySpark, or Scala.
• Knowledge of data modeling, data integration, and data-quality practices.
• Experience with relational databases and cloud storage.
• Strong troubleshooting, communication, and problem-solving skills.

Skills

• Experience with Snowflake and Matillion.
• Knowledge of Hadoop, Spark, and distributed data processing.
• Familiarity with Azure Blob Storage, AWS S3, SQL Server, and Git.
• Cloud or data engineering certifications.

Benefits

Details regarding benefits will be provided during the interview process.