Data Engineer

We’re looking for a Data Engineer to join our growing analytics team! This role is ideal for someone who enjoys building scalable data pipelines, optimizing ETL processes, and working cross-functionally to make data accessible and actionable. Key Responsibilities • Design, build, and maintain reliable data pipelines to collect, process, and transform large datasets. • Collaborate with analysts, developers, and business stakeholders to ensure seamless data flow across systems. • Develop and maintain ETL/ELT frameworks for structured and unstructured data sources. • Optimize data storage and retrieval for analytics and reporting. • Ensure data quality, integrity, and security throughout the data lifecycle. • Work with cloud platforms (Azure, AWS, or GCP) and modern data tools. Qualifications • 5+ years of experience as a Data Engineer or in a similar data-focused role. • Strong proficiency with SQL and data modeling concepts. • Hands-on experience with ETL tools (Azure Data Factory, SSIS, Informatica, etc.). • Experience with Python or Scala for data processing. • Familiarity with cloud data architectures (Azure Synapse, Snowflake, Databricks, or BigQuery). • Understanding of data governance, security, and best practices. Preferred Skills • Experience working with Power BI, Tableau, or similar visualization tools. • Exposure to API integrations and automation workflows. • Knowledge of CI/CD processes and version control (Git).