Job Description

Job Description

Job Description

Job Title: Datawarehouse Developer/Engineer
Location: Falls Church, VA 22042
Duration: 6 Months
Work Schedule: 9/80
Pay: $74.54/hr

About the Role

We’re seeking an experienced Data Warehouse Developer/Engineer to design, develop, and optimize large-scale data systems. In this role, you’ll focus on migrating data from a legacy system to Amazon Redshift  cloud-based data warehouse. You'll also build robust ETL pipelines, develop data models, and ensure data quality across multiple cloud and on-prem environments. You’ll collaborate closely with cross-functional teams, data scientists, analysts, and business stakeholders to deliver high-impact data solutions.

Responsibilities

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

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology
• Proficiency in one or more programming languages (e.g., Python, Java, Scala)
• 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
• Strong understanding of database design principles, data modeling, and data governance
• Proficiency in SQL, including query optimization, indexing, and performance tuning
• Experience with data warehousing concepts, including star and snowflake schemas
• 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)
• 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
• Understanding of data quality and governance principles and best practices o Experience with agile development methodologies such as Scrum or Kanban

Preferred Skills

• Experience with Dataiku 
• Experience with building reports using PowerBI and Tableau 
• Experience with Alteryx 
• Relevant cloud certifications (e.g., AWS Certified Data Analytics - Specialty) 
• Experience with AWS services and best practices

Education Preferred

• Bachelor's or Master's degree in Computer Science or a related field, with at least 8 years of experience in Information Technology

Additional Information:

• 100% Remote or Hybrid work arrangement, with occasional visits to the office 

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