Data Engineer - Talend & AWS, Tech Lead

Save
You need to sign in or
create an account to save a job.
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:

Are you passionate to work with the most valuable asset of an organization - "Data"? Are you a seasoned engineer with good analytical and programming skills? Do you have an appetite to explore and learn new data tools and technologies? Are you a new age data tools explorer wanting to innovate, perform and deliver? If you said YES to one of these checks, you should take a look at our Data Engineer, Tech Lead role with Platform & Data Solutions division at Freddie Mac.

Our Impact:
  • We build data platforms and capabilities that enable data analytics, reporting, model developments and machine learning
  • We manage and enhance Big Data and Data Warehouse platforms, collaborate with teams and leadership within IT and with business partners to advance our technical capabilities and provide data solutions that drive business results
  • We create Proof of Concepts (POCs) to illustrate how cutting-edge technologies can be incorporated and enhance Freddie Mac's technology offerings


Your Impact:
  • Help implement enterprise data product vision and communicate effectively to key partners
  • Drive enterprise data benefit goals and tracking through to realization
  • Demonstrate the ability to design, configure, engineer, integrate, implement platform components and services
  • Provide thought leadership and lead projects, coach other engineers on enterprise data platforms
  • Work with data engineering and lines of business to understand and prioritize business demands


Qualifications:
  • Bachelor's degree in Computer Science or Engineering, or equivalent experience; advanced studies/degree preferred
  • 8+ years of experience engineering and developing data frameworks and solutions
  • Expertise in design and development of Data Integration & Big data jobs within Talend
  • Extensive experience on AWS technologies including but limited to EC2, Cloud formation, Cloud watch, Lambda, AWS S3, RDS, API gateway, Route53/ELB and AWS Analytics
  • Experience in Apache Spark design and development using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs)
  • Knowledge of data formats and ETL and ELT processes in a real-time microservice /streaming environment
  • Experience of deploying Talend as docker image; Knowledge on working and configuring Talend Management Console and remote engine on Talend Cloud
  • Working experience in dealing with structured, semi-structured and unstructured data in batch and real-time environments and Stream processing ( Spark Streaming )
  • Experience in handling CI/CD pipelines and Jenkins
  • Excellent verbal, written, and interpersonal communication skills


Keys to Success in this Role:
  • Highly motivated and energetic self-starter with solid organizational and time management skills; demonstrable experience operating at high standards of quality and accuracy within a fast-paced changing environment
  • Ability to lead and influence others
  • Ability to collaborate with others in both IT and Business
  • Able to coach and guide Junior employees
  • Strong verbal and written communication skills
  • Willingness to learn new technologies and concepts
  • Ability to multi-task and prioritize appropriately in a fast pace environment


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 www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

Job Category:Information Technology

FLSA Status:Exempt

Similar searches: Full Time, Administrative, Financial Services and Banking