Programmer Analyst

Position would require the candidate to be a W2 employee of Donatech.

US Citizenship / Permanent Resident Required.

o Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large datasets from various sources o Build and maintain data warehouses, including data modeling, data governance, and data quality o Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies o Optimize data systems for performance, scalability, and reliability o Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift o Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions o Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling o Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks o Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues

o Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology o Proficiency in one or more programming languages (e.g., Python, Java, Scala) o 8+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems o 5 + years of hands-on experience in writing complex, highly-optimized queries across large data sets using Oracle, SQL Server and Redshift. o 5 + years of hands-on experience using AWS Glue, python / pyspark to build ETL pipelines in a production setting, including writing test cases o Strong understanding of database design principles, data modeling, and data governance o Proficiency in SQL, including query optimization, indexing, and performance tuning o Experience with data warehousing concepts, including star and snowflake schemas o Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components o Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases, or cloud-based data warehouses (Redshift) o Experience with data processing frameworks such as Apache Kafka, Fivetran o Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark o Understanding of data quality and governance principles and best practices o Experience with agile development methodologies such as Scrum or Kanban

• 8+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems
• 5 + years of hands-on experience in writing complex, highly-optimized queries across large data sets using Oracle, SQL Server and Redshift.
• 5 + years of hands-on experience using AWS Glue, python / pyspark to build ETL pipelines in a production setting, including writing test cases