Senior AWS Big Data Developer

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At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

We are seeking a hardworking and hands-on senior Big Data AWS developer to design, build, implement and maintain several data solutions on our modern Stratus/Cloud Native Data Lake platform. As a senior member of an agile modern delivery team, you will be working on multiple projects that will serve a variety of critical Loan Advisory Suite business needs. You will also be taking part in our current effort to modernize our platform using industry standard cloud-based technologies.

***This position can be performed currently from a remote location in the U.S. but will require presence in a Freddie Mac office in the future.***

Our Impact:

As part of Platform & Data Solutions organization, we are an eco-system that enables optimal, real-time loan evaluation and purchase decisions across Single Family by providing the right data at the right time to the Loan Advisory Suite of applications. We are also leading the change to build several data solutions using our Stratus/Cloud Native Data Lake platform that enable consolidating, centralizing and consuming shared data for the enterprise to serve various data analytics and reporting needs.

Your Impact:

In this role, you will be part of the team to pave the way by building for the future working on state-of-the-art tools and technologies in alignment with business objectives. You will be researching, learning and implementing innovative, creative and effective big data solutions to support various data analytics and reporting needs of the enterprise.

  • 5+ years of experience in software development using Big Data technologies for large data ingestion
  • 3 + years of experience building ETL processes using Talend or Informatica
  • 2+ years of experience in Cloud technologies like AWS S3, EC2, Kubernetes/Amazon EKS
  • 2+ years of experience in Attunity, Kafka, AMQ or similar streaming tools
  • 1+ years of experience using Okera, Presto or similar
  • 3+ years of database technologies Oracle, DB2, Mongo DB, NoSQL DBs, PostgreSQL
  • 3+ years of experience developing on MapReduce, Hive, Sqoop, Spark, PySpark
  • 2+ years of experience in Snowflake or similar
  • Bachelor's Degree in computer science or IT, Advanced degree preferred

Keys to Success in this Role:
  • Passionate and take pride in owning your work
  • Technically strong with hands-on experience
  • Ability to understand and communicate well with a passion to get the job done
  • Open minded to embrace new technologies and culture
  • Ready to take on any kind of work to help drive things forward
  • Innovative in providing solutions

Current Freddie Mac employees please apply through the internal career site.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit and register with our referral code: MAC.

Time-type:Full time

Job Category:Information Technology

FLSA Status:Exempt

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