Job Details

  • ID#46102788
  • Address 97003 , Beaverton,

    Oregon

    Beaverton USA
  • Job type

    Contract

  • Salary USD $51.00 - $64.00 hourly 51.00 - 64.00 hourly
  • Hiring Company

    Kforce Technology Staffing

  • Showed30th September 2022
  • Date29th September 20222022-09-29T00:00:00-0700
  • Deadline27th November 2022
  • Category

    Et cetera

Senior Data Engineer

  • Category: Et cetera
  • Deadline: 27th November 20222022-11-27T23:00:00-0800
  • Oregon

Vacancy expired!

RESPONSIBILITIES:Kforce has a client in Beaverton, OR that is seeking a Senior Data Engineer. This role is currently remote, but will be required to be on-site once we return to office.Responsibilities: In this role, the Senior Data Engineer establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy Documents and communicates database design Evaluates and installs database management systems Codes complex programs and derives logical processes on technical platforms Builds windows, screens and reports Assists in the design of user interface and business application prototypes The Senior Data Engineer participates in quality assurance and develops test application code in client server environment Provides expertise in devising, negotiating and defending the tables and fields provided in the database Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms Determines appropriateness of data for storage and optimum storage organization As a Senior Data Engineer, this role determines how tables relate to each other and how fields interact within the tables for a relational modelREQUIREMENTS: 5+ years relevant work experience in the Data Engineering field 3+ years of experience working with Hadoop and Big Data processing frameworks (Hadoop, Spark, Hive, Airflow etc.) 2+ years of experience Strong experience with relational SQL and at least one programming language such as Python, Scala, or Java Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc. Experience building scalable, real-time and high-performance cloud data lake solutions Experience with source control tools such as GitHub and related CI/CD processes Experience working with Big Data streaming services such as Kinesis, Kafka, etc. Experience working with NoSQL data stores such as HBase, DynamoDB, etc. Experience with data warehouses/RDBMS like Snowflake & TeradataTop 3 Skills: Python, SQL AWS SparkKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Vacancy expired!