Data Engineer

• Design, develop, and optimize ETL (Extract, Transform, Load) pipelines to facilitate efficient data flow across various platforms using tools like Informatica, Talend, or custom scripting with Python and Bash.
• Build and maintain scalable data warehouses and big data systems utilizing technologies such as Hadoop, Spark, Apache Hive, Azure Data Lake, and AWS cloud services.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data models using dimensional modeling and data warehousing best practices.
• Manage SQL databases including Microsoft SQL Server, Oracle, and cloud-based SQL databases to support query management and reporting needs.
• Develop and implement data management integration strategies ensuring high-quality data ingestion from linked data sources and public cloud environments.
• Support business intelligence tools like Looker by creating dashboards and reports that deliver actionable insights to stakeholders.
• Write efficient code in Java, Python, or Shell Scripting for automation of data workflows and model training processes while adhering to Agile development methodologies.

• Proven experience working with big data systems such as Hadoop ecosystem components (HDFS, Spark, Hive) or similar frameworks in a cloud environment (Azure Data Lake, AWS).
• Strong background in software development with proficiency in Java, Python, SQL (including Microsoft SQL Server and Oracle), and scripting languages like Bash or VBA.
• Demonstrated expertise in designing scalable data models for warehousing solutions using dimensional modeling techniques.
• Hands-on experience with ETL pipeline development using tools like Informatica or Talend along with RESTful API integrations for seamless data exchange.
• Familiarity with business intelligence tools such as Looker or equivalent platforms for creating insightful dashboards.
• Knowledge of cloud databases (Azure SQL Database, Amazon RDS) and public cloud platforms supporting big data systems is highly desirable.
• Ability to analyze complex datasets effectively while applying strong analysis skills to support strategic initiatives.

Join us to leverage your passion for data engineering in a vibrant environment where innovation drives success!