Ab Initio Developer

Experis
Charlotte, NC, United States
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Information Systems Information Engineering Data Integration Extract Transform Load (ETL) Data Systems Programming Tools Python (Programming Language) Oracle Databases Data Processing Cloud Platform System Ab Initio Pyspark
+4 more
Information Technology Integration Frameworks Data Management Legacy Systems

Job description

  • Maintain, support, and enhance existing ETL applications and data workflows.
  • Provide production support, troubleshoot issues, and ensure timely incident resolution.
  • Design, develop, test, and deploy ETL solutions using Ab Initio, PySpark, and Python.
  • Lead migration efforts of ETL jobs from legacy platforms to modern data processing frameworks.
  • Collaborate with stakeholders to understand requirements and deliver effective data solutions., * Opportunity to work on innovative data modernization projects.
  • Engage with cutting-edge AI-assisted development tools to enhance productivity.
  • Collaborate with a diverse and talented team in a supportive environment.
  • Gain valuable experience in cloud-based data platforms and modern data engineering practices.
  • Participate in a flexible hybrid work schedule with in-office days on Monday, Tuesday, and Wednesday.

Upon completion of waiting period, consultants are eligible for:

  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • 401(k), Plus Match
  • Weekly Pay

Requirements

Our client, a leading organization in the data management and technology sector, is seeking a dedicated Ab Initio Developer to join their dynamic team. As an Ab Initio Developer, you will be part of the Data Engineering Department supporting the Data Integration and Modernization teams. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and excellent communication abilities, which will align successfully within the organization., * Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

  • 4+ years of experience in ETL development and data integration.
  • Hands-on experience with Ab Initio, PySpark, Python, and Oracle Database.
  • Proven ability to support and maintain enterprise-scale data processing applications.
  • Strong analytical, problem-solving, and communication skills.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance

About the company

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 2023 ManpowerGroup was named one of the World’s Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · WWC 2021

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

Videos

See all

Related articles

See all