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Databricks ETL Developer

ManpowerGroup • Remote • Posted 30+ days ago

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Remote • Full-time • Mid Level

Job Highlights

Using AI ⚡ to summarize the original job post

This role involves becoming a key player in a project to move a data warehouse from Oracle and SAP Data Services technologies to Databricks, a crucial element of the agency's cloud migration. The position is 100% remote and requires a US citizen per client requirements. Responsibilities include developing automated data pipelines, collaborating with various teams to understand data requirements, optimizing ETL workflows, and ensuring compliance with data governance policies.

Responsibilities

  • Work with product owners and internal and external teams to develop automated data pipelines from heterogeneous sources, including file and data validation, exception handling and reporting, and applying business rules in ETL to populate the data warehouse in alignment with agency standards and guidelines.
  • Collaborate with data analysts, engineers, and stakeholders to understand data requirements and develop ETL solutions that meet business needs.
  • Optimize ETL workflows for performance, scalability, and reliability, ensuring timely and accurate data delivery.
  • Develop and maintain standards and documentation for ETL processes, including data mappings, transformations, and workflow diagrams.
  • Monitor ETL jobs, troubleshoot issues, and implement enhancements to improve data quality and system efficiency.
  • Ensure compliance with data governance policies and security standards throughout the ETL lifecycle.

Qualifications

Required

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Proven experience as an ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools.
  • Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Databricks, Spark)
  • Experience with ETL tools such as Databricks, SAP Data Services including designing and deploying ETL workflows across a variety of data sources to include JSON and Parquet files.
  • Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and automation.
  • Familiarity with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and data modeling techniques.
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.

Full Job Description

One of our premier clients is seeking a Databricks ETL Developer for their growing team. This is a 100% REMOTE role that must be filled by a US Citizen per our clients requirements.

Role Description:

Our project to move a data warehouse from Oracle and SAP Data Services technologies to Databricks is in its early stages. This is an opportunity to become a key player in an important element of the agency's cloud migration.

Responsibilities for this role:

- Work with product owners and internal and external teams to develop automated data pipelines from heterogeneous sources, including file and data validation, exception handling and reporting, and applying business rules in ETL to populate the data warehouse in alignment with agency standards and guidelines.

- Collaborate with data analysts, engineers, and stakeholders to understand data requirements and develop ETL solutions that meet business needs.

- Optimize ETL workflows for performance, scalability, and reliability, ensuring timely and accurate data delivery.

- Develop and maintain standards and documentation for ETL processes, including data mappings, transformations, and workflow diagrams.

- Monitor ETL jobs, troubleshoot issues, and implement enhancements to improve data quality and system efficiency.

- Ensure compliance with data governance policies and security standards throughout the ETL lifecycle.

Preferred Qualifications

- Bachelor's degree in Computer Science, Information Systems, or a related field.

- Proven experience as an ETL Developer or Data Engineer, with a strong understanding of data warehousing concepts and ETL tools.

- Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Databricks, Spark)

- Experience with ETL tools such as Databricks, SAP Data Services including designing and deploying ETL workflows across a variety of data sources to include JSON and Parquet files.

- Proficiency in SQL and scripting languages (e.g., Python) for data manipulation and automation.

- Familiarity with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and data modeling techniques.

- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

**About ManpowerGroup, Parent Company of:** **Manpower, Experis, Talent Solutions, and Jefferson Wells**

_ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands -_ **_Manpower, Experis, Talent Solutions, and Jefferson Wells_** _-_ creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.