Data Engineer I

Role Overview

We are looking for an experienced Data Engineer I who is enjoys working in a fast-paced environment. You will get involved in every layer of our data stacks, looking at ways to improve performance, reliability and quality.

What You Will Do

Design and build data pipelines, manage data warehouses, develop and optimize ETL processes, implement data cleaning and validation processes, implement security measures, and design systems that can handle large volumes of data.

Why It Might Be a Fit

Prior experience with working in diverse Enterprise architectures, ability to manage confidential, sensitive information, and certifications in Cloud and Data Science.

Requirements

• Proficient in SQL (T-SQL, PL/pgSQL, Spark-SQL) for complex data retrieval, manipulation, and transformation.
• Experienced in query optimization techniques to improve performance and efficiency.
• Strong understanding of relational database management systems (RDBMS) concepts and principles.
• Demonstrated experience with both on-premises and cloud-based deployments of Microsoft SQL Server and PostgreSQL on platforms like AWS or Azure.
• Familiarity with database administration tasks such as user and security management, backup and recovery, and performance monitoring.
• Experience in designing and implementing data pipelines for data movement and transformation.
• Understanding of ETL (Extract, Transform, Load) process and its components (extraction, transformation, loading).
• Familiarity with data pipeline orchestration tools and platforms (e.g., Airflow, Ascend, Apache Spark, DBT).
• Exposure to data quality best practices and methodologies for ensuring clean and accurate data.
• Experience with Java and/or C#.NET and/or Python, and their methods for interacting with persistence layers.
• Working knowledge of cloud platforms like AWS or Azure for infrastructure provisioning and management.
• Understanding of data warehousing concepts and technologies.
• Familiarity with version control systems like Git.
• Master’s degree in Technology, Data Science, Mathematics, Statistics or related field with minimum 3 years of experience in above.
• Certifications in Cloud and Data Science

Benefits

• equal opportunity and diversity
• collaborative and empowering environment