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Data Engineer

Company: Reliable Software Resources
Location: Livonia
Posted on: February 21, 2021

Job Description:

Job Title: Data engineerLocation: US-MI-Livonia (begin with remote) Duration: 6+Months Job Overview:One of our large clients is expanding their current data footprint on the cloud to provide analytics, BI and data APIs. Majority of data will be batch processed with data validation, data quality and transformation into a multitude of data platforms such as Redshift, Postgres and Hive. A Senior Technical Consultant is expected to be knowledgeable in two or more technologies within (a given Solutions/Practice area). The Senior Technical Consultant is expected to have strong development and programming skills in Spark with a focus on Scala/Java and other ETL development experience in the big data space. You are expected to be experienced and fluent in agile development and agile tools as well as code repositories and agile SLDC/DevOps frameworks. You will work with architects and infrastructure teams to develop, test, deploy and troubleshoot your code as well as provide input into solutions and design of the system. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions focused on our clients' business needs. Responsibilities:

  • Work with data engineering team to define and develop data ingestion, validation, transformation and data engineering code.
  • Develop open-source platform components using Spark, Scala, Java, Oozie, Hive and other components
  • Document code artifacts and participate in developing user documentation and run books.
  • Troubleshoot deployment to various environments and provide test support.
  • Participate in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates. Qualifications:Data Engineers are required to design and build data products and data pipelines. They will ensure the robust flow of data from acquisition through curation, and governance. Data Engineers will enable data as a service and drive all critical data driven initiatives.
    • Experts of the data and its application by users
    • Understands data landscape and environments: sources, elements, update freq, completeness, stewards/contacts, platforms.
    • Manages ETL: use programming and tools for data ingestion, configure pipelines, apply transformations and decoding, integrate and fuse data, move and securely deliver.
    • Translates business requirements to build repeatable, sustainable, efficient, coded processes that can be productionized by Software Engineers and readily modified by other Data Engineers.
    • Creates POC processes in Dev/QA and works with Software Engineers to productionize and align best coding and process practices that maximize efficiency, speed, stability, system resources and capabilities.
    • Leverages frameworks in place with big data tools: Hadoop, Spark, Python, Kafka, etc.
    • Experience with relational SQL and NoSQL databases
    • Awareness of and compliance with: data privacy, security, legal and contractual guidelines
    • Incorporates data quality and privacy checks/alerts to minimize bad data being consumed by end users, models and dashboards, and to protect customer data; revises checks for new data issues
    • Maintains feedback loop with Data Stewards on data issues, standards, fit for use (Data Stewardship is a subset of data engineering which would include responsibilities like data curation)
    • Validates data products and pipelines are functioning as expected following system or application upgrades, source changes, etc.
    • Responsible for data architecture including sources, table structures, physical models
    • Works closely with Architects to align systems, tools and applications being utilized with business use case and performance requirements
    • Communicates with end users to set expectations and ensure alignment around data accuracy, completeness, timeliness and consistency
    • Provides data product support and maintenance
    • Establishes, tracks and monitors KPIs related to specific data products and deliverables Preferred Skills and Education:
      • Bachelors's degree in Computer Science or related field
      • Certification in Spark, Azure or other cloud platform Educational Qualifications:
        • Required - Bachelor's degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent
        • Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent Travel:
          • Open to travel based up on the nature of the engagement Thanks & RegardsSrikanth Donkani Sr. Talent Acquisition Specialist(w): (E):2260 Haggerty Road, Suite 285 Northville, MI 48167Equal Employment OpportunityReliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law.Employment decisions are based solely on qualifications, merit and business needs. - provided by Dice

Keywords: Reliable Software Resources, Livonia , Data Engineer, Engineering , Livonia, Michigan

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