• Find preferred job with Jobstinger
  • ID
    #32214943
  • Salary
    TBD
  • Source
    Bertrandt US
  • Date
    2022-01-21
  • Deadline
    2022-03-22

Vacancy expired!

Bertrandt - your trustworthy engineering partnerLooking for a career, not just a job? Want to join a dynamic team working for an international industry leader? Enjoy an energetic work atmosphere? Bertrandt US may be just what you have been looking for! The Bertrandt Group has been providing development solutions for the international automotive and aviation industries in Europe, China and the USA for more than 40 years. A total of around 13,000 employees at 53 locations guarantee extensive know-how, sustainable project solutions and a high level of customer orientation. Its main customers include the major manufacturers and numerous system suppliers.The Business Data Quality Engineer is part of the Data & Analytics team. In this role, the Business Data Quality Engineer works closely together with the data provision team on the technical side (Data Architects, Developers, Engineers) who are building ETLs, tables, structures etc. to onboard and manage data assets and the teams receiving data on the business side (Business Intelligence Specialists, Data Scientists) which require and consume data to support the creation of reporting, visualization, analytics and data services in general. The objective is to ensure usability of the data by defining and leveraging quality standards based on feedback and input from the data subject matter experts and automate data cleaning and cleansing procedures. Part of this task is to leverage existing tools to define and document data process flows and governance functions.Support data Migration & Conversion

Enable & support Data Analysis

Data Quality Management incl. standardized procedures

Uphold Data Governance standards

Customer focus: keep internal audience in mind when building processes (user input) and solution design (presentation layer of quality control process & monitoring)

Understand physical database structures (Schema, indexes, etc.)

Create database objects (tables, indexes, etc.)

Perform data analysis – source/ target data assets

Perform data migration plan analysis – source/ target data assets

Data migration results assessment – Data Quality evaluation, to include discrepancy analysis and resolution

Develop complex SQL and PL/SQL scripts

Tune SQL for improved performance

Work with data scientist to ensure time to market of analytics requests and trials by ensuring proper data formatting and data availability

Business Collaboration: work with stakeholders across the enterprise and members of the data science community to define data quality expectations, status of

quality based on data assets and assist in quality standardization of existing and new data assets

IT Collaboration: work with developers and architects to implement proper data quality process and quality measurement goals

Work cross-functional to define and automate data quality measurement and assurance process

Identify & detect data quality issues and prioritize fix across roadmap

Define data quality measurement system (e.g. certification of data sources based on quality standards)

Create awareness amongst stakeholders, partners and affiliates about importance of data quality and existing data quality management procedures

Create reports and analysis to define state of data quality by data asset

Leverage and enhance existing standards for data profiling and monitoring for data assets

Work with data owners and Customer 360, product 360 and operations 360 experts to ensure enablement and usability of enterprise data assets

Research, collect and inform practices and innovations for data quality management

Create technical documentation supporting sharing of understanding and flow of data quality management process

Leverage existing tools to document data related processes across the organization by working with respective stakeholders

Actively involve and leverage other team members of the Data & Analytics team to assist with deliverables and responsibilities

Identify data quality issues and root cause

Quantify issues and impact and work with IT delivery team on sustainable resolution

Define escalation process to resolve underlying data discrepancies by working with Data Steward

10+ years of experience

Required: B.S. + continued learning via e.g. MOOCs,

Desired: B.S. Communications, Business Analytics, Computer Science or degree in a discipline that fosters structured problem solving and creativity

Ability to triage and troubleshoot data consumption and data quality problems

Ability to timely identify and escalate issues/risks

Extensive knowledge + certification in following technologies:

Understand databases & structures (oracle, SAP, Hadoop)

Understanding of both batch and stream processes and tools e.g. Kafka, ETLs, SFTPs, APIs

Experience with end to end data testing &/or data analysis as well as knowledge of best practices & methodologies for data QA

Experience with scripting (Python, Perl, Ruby, bash, etc.)

Experience with REST based services and testing

Experience with JSON, CSV, and other data exchange formats (e.g., YAML)

Ability to develop test plans, test cases, test scripts and test results

Extensive knowledge + certification in following technologies: SQL, python, Informatica Data Quality, AXON, process and quality assurance, Six Sigma

Benefits:Complete and comprehensive benefits package including Med/Dent/Vision.

Employer paid STD/LTD/Life.

401k Retirement program.

Generous paid vacation/sick/holidays.

Creativity encouraged in a fun, friendly work environment.

ID: 2022-2011 External Company URL: http://www.bertrandt.com/en/

Vacancy expired!

Report job

Related Jobs

Jobstinger