• Location: USA, New York, Manhattan
  • Date Posted: 31st May, 2019
  • Reference: PS121918JFI_1559307997
AWS Big Data Tech Lead - Manhattan - 12+ Month Contract - 140/hr

As a Technical Leader - Big Data Architect, you will be responsible for expanding and optimizing the client's data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

The position will be responsible for working with a wide range of commercial and open source data engineering tools and techniques such as Hive and Spark, with a heavy focus in AWS tools such as Redshift, EC2, Lambda, etc.

To be successful, the role will require the individual to be passionate about analyzing data, creating data pipelines to source systems, extracting and transforming data, as well as publishing sanitized data to downstream applications and statistical modeling teams.


- Partner with business teams to develop analytical products and applications using Big Data

- Create and maintain an optimal data pipeline architecture

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS - big data- technologies

- Design, development, and maintenance of analytical products and solutions throughout the project lifecycle

- Evaluate and implement firm approved commercial and open source technologies while educating teams on best development practices

- Address technical issues during execution

- Manage & monitor through daily scrum meetings, weekly updates to Project Manager & incorporate domain feedback

Skills Required:

-Hands-on experience building large, scalable, reliable, and high availability distributed systems with a high degree of autonomy.

- Extensive AWS experience, utilizing functions such as Redshift, S3, EC2, RDS

- Worked with big data tools like Hadoop, Scala, Spark or Kafka

- Strong analytical skills related to working with unstructured datasets - Strong object oriented skills; deep expertise and hands on programming experience in Core Java or Scala.

- Experience working with any of the NOSQL Databases (e.g.: HBase, MongoDB, Cassandra, etc.).

Desired Skills

- Previous experience in the financial services field, with an emphasis on banking/lending technology.

- Exposure to Machine Learning Models and technologies (e.g.: Pyspark, Spark ML, etc.).

- Excellent people management skills; including the ability to influence, and set appropriate timelines to achieve successful results through others who are not direct reports

If you or someone you know is interested in this position, please send your resume directly to P.Sandstrom@jeffersonfrank.com or call 212-731-8282. Ask for Paige! My client is looking to start the interview process as soon as possible.

Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific.

At Jefferson Frank, our mission is simple: we want happy customers. Whether you're an AWS professional walking into your dream AWS job, or an organization hiring an incredible contractor for your cloud migration project, our goal is to deliver an unrivalled customer experience. Work with us and you'll get the personalized experience you deserve - one you'll simply not find at any other recruitment agency. At Jefferson Frank, we find great people great jobs in AWS.

I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available AWS Big Data Jobs as well as the cloud market, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.