A senior data engineer supports data ingestion for rapid prototyping and experimentation in data analytics projects. The role will support both a traditional business intelligence function as well as advanced analytics like machine learning and predictive modelling. A senior data engineer takes on architectural and performance optimization tasks, lead projects of system caliber integrations. Considered an expert “go-to” person. Serves as coach and mentor to staff. Demonstrates expert level of competency in trouble shooting and problem solving together with expert customer and vendor / partner interface skills. Leads advanced group and enterprise level technology planning.Oversee and Build processes that efficiently ingest data from multiple sources and intelligently handle the scale and complexities of real-world data. • Implement processes and systems to supervise data quality, ensuring production data is always accurate and available for the teams that depend on it. • Gather requirements from the rest of the data team and other internal stakeholders to identify opportunities for improvements, set priorities, and execute. • Work with other teams in IT to ensure that data handling complies with all external regulations and internal standards. • Assist in the governance of our shared BI platform and assist citizen developers in their BI projects. • Build data models that scale up efficiently and are integrated with Azure DevOps and DBT Cloud. • Build and maintain Security interfaces within Snowflake. • Ensure cost control and perform performance optimization in Snowflake. • Work with stakeholders and architecture team to ensure the data applications developed are the single source of truth of their respective functional reporting area. • Responsible of the architectural layout in Snowflake and Azure Data Factory. • Ensure effective on-boarding of partners, using Azure DevOps and DBT. • Issue development guidelines, standards and assure implementation. • Respect and propose metrics for Snowflake environment’s health.5+ years as a data engineer, or a role with similar skillsets • Proven experience with Snowflake, certification desired • Experience with Azure cloud platform, specifically Azure Data Factory • Experience with SQL and Microsoft SQL Server • Experience with BI tools like Power BI or Qlik • Bachelor’s degree in computer science, Information Systems or related technical degree • Fluent in English, written and verbal • Self-Manages: Demonstrated ability to work autonomously towards a goal • Interpersonal Skills • Communication and collaboration • Knowledge of common data regulations like GDPR • Experience in the manufacturing industry • Ability to communicate technical content in business terms • Experience with Python • Data Architecture experience or knowledge of best standards and techniquesInternal Use Only: SalaryGlobal Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your  ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking <a href="https://www.borgwarner.com/legal/privacy-policy-for-online-applications">here</a><a href="http://multimedia.3m.com/mws/media/1274940O/3m-jobs-country-data-privacy-statements-external.pdf">,</a> select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.Career Scam Disclaimer:  BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website.  To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner.  Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online.  Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.

As a global product leader for over 130 years, we deliver innovative and sustainable mobility solutions. Guided by our commitment to inclusion, integrity, excellence, responsibility and collaboration&mdash;and our pledge to reach carbon neutrality by 2035&mdash;we&rsquo;re leading the automotive industry to a future that is cleaner, healthier and safer for all.
Start your future with BorgWarner now! We are looking for dedicated, talented people to fill our manufacturing and technical facilities all over the world. For more information, please visit: https://bit.ly/WorkAtBorgWarner
For legal and data protection inquiries please visit: https://www.borgwarner.com/legal
Career Scam Disclaimer BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their Social Security numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner&rsquo;s website to verify the authenticity of any employment opportunities.

Data Engineer

A senior data engineer supports data ingestion for rapid prototyping and experimentation in data analytics projects. The role will support both a traditional business intelligence function as well as advanced analytics like machine learning and predictive modelling. A senior data engineer takes on architectural and performance optimization tasks, lead projects of system caliber integrations. Considered an expert “go-to” person. Serves as coach and mentor to staff. Demonstrates expert level of competency in trouble shooting and problem solving together with expert customer and vendor / partner interface skills. Leads advanced group and enterprise level technology planning.Oversee and Build processes that efficiently ingest data from multiple sources and intelligently handle the scale and complexities of real-world data. • Implement processes and systems to supervise data quality, ensuring production data is always accurate and available for the teams that depend on it. • Gather requirements from the rest of the data team and other internal stakeholders to identify opportunities for improvements, set priorities, and execute. • Work with other teams in IT to ensure that data handling complies with all external regulations and internal standards. • Assist in the governance of our shared BI platform and assist citizen developers in their BI projects. • Build data models that scale up efficiently and are integrated with Azure DevOps and DBT Cloud. • Build and maintain Security interfaces within Snowflake. • Ensure cost control and perform performance optimization in Snowflake. • Work with stakeholders and architecture team to ensure the data applications developed are the single source of truth of their respective functional reporting area. • Responsible of the architectural layout in Snowflake and Azure Data Factory. • Ensure effective on-boarding of partners, using Azure DevOps and DBT. • Issue development guidelines, standards and assure implementation. • Respect and propose metrics for Snowflake environment’s health.5+ years as a data engineer, or a role with similar skillsets • Proven experience with Snowflake, certification desired • Experience with Azure cloud platform, specifically Azure Data Factory • Experience with SQL and Microsoft SQL Server • Experience with BI tools like Power BI or Qlik • Bachelor’s degree in computer science, Information Systems or related technical degree • Fluent in English, written and verbal • Self-Manages: Demonstrated ability to work autonomously towards a goal • Interpersonal Skills • Communication and collaboration • Knowledge of common data regulations like GDPR • Experience in the manufacturing industry • Ability to communicate technical content in business terms • Experience with Python • Data Architecture experience or knowledge of best standards and techniquesInternal Use Only: SalaryGlobal Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your &nbsp;ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.Please access the linked document by clicking <a href="https://www.borgwarner.com/legal/privacy-policy-for-online-applications">here</a><a href="http://multimedia.3m.com/mws/media/1274940O/3m-jobs-country-data-privacy-statements-external.pdf">,</a> select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.Career Scam Disclaimer:&nbsp; BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website.&nbsp; To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. &nbsp;Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. &nbsp;Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.

Data Engineer

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BorgWarner

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