Are you looking for an exciting opportunity to utilize your skills as an ETL Cloud Data Engineer? Look no further! At Freddie Mac, we are seeking a highly skilled and motivated individual to join our team and help drive our data management and migration efforts. As an ETL Cloud Data Engineer, you will play a crucial role in ensuring the accuracy, efficiency, and integration of our data systems. If you have a passion for problem-solving, a strong understanding of cloud technologies, and a desire to work in a collaborative and dynamic environment, we want to hear from you. Join us and be part of a team that is at the forefront of revolutionizing the way we manage and utilize data.
- Develop and maintain ETL processes to efficiently extract, transform, and load data from various sources into the cloud data warehouse.
- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements for data integration and migration.
- Design, implement, and maintain data models to ensure data accuracy and consistency across all systems.
- Troubleshoot and resolve any data-related issues, ensuring data quality and integrity.
- Continuously monitor and optimize ETL processes to improve efficiency and performance.
- Stay updated with the latest technologies and trends in cloud data engineering and actively contribute to the improvement of existing processes.
- Work closely with data architects and database administrators to ensure seamless data integration and migration.
- Collaborate with data analysts and business users to understand data requirements and deliver solutions that meet their needs.
- Create and maintain technical documentation for ETL processes and data models.
- Communicate and present data-related insights and recommendations to stakeholders in a clear and concise manner.
- Take ownership of data-related projects and ensure timely delivery within budget and scope.
- Mentor and train junior team members on ETL best practices, cloud technologies, and data governance.
- Adhere to data security and privacy policies and procedures to ensure compliance with regulatory requirements.
- Participate in agile development methodologies, including daily stand-ups, sprint planning, and retrospectives.
- Collaborate with other IT teams to ensure seamless integration of data systems and applications.
Bachelor's Or Master's Degree In Computer Science, Information Systems, Or Related Field.
Minimum Of 3 Years Of Experience In Etl Development And Implementation On Cloud Platforms (Aws, Azure, Or Google Cloud).
Strong Understanding Of Data Warehousing Concepts And Experience With Etl Tools Such As Informatica, Talend, Or Aws Glue.
Working Knowledge Of Sql And Experience With Querying And Manipulating Large Datasets.
Experience With Scripting Languages Such As Python Or Java For Data Transformation And Manipulation.
Data Analysis
Database Management
Data Modeling
Data warehousing
Cloud Computing
Data integration
Data extraction
Data transformation
ETL tools
Data loading
SQL querying
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a ETL Cloud Data Engineer in McLean, VA, USA is $120,000 - $150,000 per year. This can vary depending on the specific company, level of experience, and other factors such as bonuses and benefits.
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Federal Home Loan Mortgage Corp. provides liquidity, stability and affordability to the U.S. housing market primarily by providing credit guarantee for residential mortgages originated by mortgage lenders and investing in mortgage loans and mortgage-related securities.

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