Company Description:

Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

RESPONSIBILITIES

• Translates business requirements to build repeatable, sustainable, efficient, coded processes that can be productionized by Software Engineers and readily modified by other Data Engineer 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 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 Validates data products and pipelines are functioning as expected following system or application upgrades, source changes, etc. Works closely with Architects if required to align systems, tools and applications being utilized with business use case and performance requirements Provides data product support and maintenance Establishes, tracks and monitors KPIs related to specific data products and deliverable Participate in iteration cadence activities (Iteration Planning, task estimation, daily scrum, demos, etc.). Will be a part of on-call team to resolve critical production support tickets during business hours and off hours.

  Skills Required:

  Experience with Big Data Technologies (Hadoop , ETL Tool, Spark. Hive etc..) Someone who understands Cloud and has experience working with Cloud Platforms (preferably GCP) Should be able to handle GCP requirements - ingesting into GCS/ Big Query, working with GCP components Hands-on in Data Flow, Cloud Storage (GCS), Big Query and GitHub. Proficient in Python and SQL.

  Skills Preferred:

  Manages ETL: uses programming and tools for data ingestion, configures pipelines, applies transformations and decoding, integrates and fuses data, moves and securely deliver Experience NoSQL databases

  Experience Required:

  4 to 6 years

Qualifications

• Bachelor's Degree in related field is required

Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE).

Job Location: Detroit, MI, USA and anticipated client sites across the US. Must be willing to travel and/or relocate domestically.

Job Duration: Full-Time, Mon-Fri, 40 hours per week.

Mail Resume to: Rhonda Wallace, Infostretch Corporation, 3200 Patrick Henry Drive, Suite 250 Santa Clara, CA. 95054. REF: ISC-3