Randstad USA Looking for Sr Data Engineer | Remote at McLean, VA Full Time

Randstad Technologies is hiring and we’re looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is – we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply to any of our open roles.

 
location: Mc Lean, Virginia
job type: Contract
salary: $76.25 – 81.25 per hour
work hours: 8am to 5pm
education: Bachelors
 
responsibilities:

Strategy Development and Implementation

• Develop data filtering, transformational and loading requirements
• Define and execute ETLs using Apache Sparks on Hadoop among other Data technologies
• Determine appropriate translations and validations between source data and target databases
• Implement business logic to cleanse & transform data
• Design and implement appropriate error handling procedures
• Develop project, documentation and storage standards in conjunction with data architects
• Monitor performance, troubleshoot and tune ETL processes as appropriate using tools like in the AWS ecosystem.
• Create and automate ETL mappings to consume loan level data source applications to target applications
• Execution of end to end implementation of underlying data ingestion workflow.

Operations and Technology

• Leverage and align work to appropriate resources across the team to ensure work is completed in the most efficient and impactful way
• Understand capabilities of and current trends in Data Engineering domain
• Qualifications
• At least 5 years of experience developing in Java, Python
• Bachelor’s degree with equivalent work experience in statistics, data science or a related field.
• Experience working with different Databases and understanding of data concepts (including data warehousing, data lake patterns, structured and unstructured data)
• 3+ years’ experience of Data Storage/Hadoop platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
• Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR).
• Implementing AWS services in a variety of distributed computing, enterprise environments.
• Experience writing automated unit, integration, regression, performance and acceptance tests
• Solid understanding of software design principles

Key to success in this role

• strong consultation and communication skills
• Ability to work with and collaborate across the team and where silos exist
• Deep curiosity to learn about new trends and how to do things better
• Ability to use data to help inform strategy and direction

Top Personal Competencies to possess

• Seek and Embrace Change – Continuously improve work processes rather than accepting the status quo
• Growth and Development – Know or learn what is needed to deliver results and successfully compete

Preferred Skills:

• Understanding of Apache Hadoop and the Hadoop ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
• Deep knowledge on Extract, Transform, Load (ETL) and distributed processing techniques such as Map-Reduce
• Experience with Columnar databases like Snowflake, Redshift
• Experience in building and deploying applications in AWS (EC2, S3, Hive, Glue, EMR, RDS, ELB, Lambda, etc.)
• Experience with building production web services
• Experience with cloud computing and storage services
• Knowledge of Mortgage industry

 
qualifications:

• Experience level: Experienced
• Minimum 5 years of experience
• Education: Bachelors

 
skills:

• Data Engineer
• SPARK
• Python

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all