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Python Developer -Tactical Golden Record (BSA Data Acceleration)

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Job Description - Python Developer -Tactical Golden Record (BSA Data Acceleration)


Description



Position at Ness Romania SRL


Job ID 6470

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

Requirements and responsibilities

We are seeking a Python Developer to design and implement data engineering solutions that support compliance and risk-focused initiatives. This role will focus on developing scalable pipelines, validation routines, and reconciliation processes to ensure data integrity and consistency across enterprise systems.

What You’ll Do

  • Develop and optimize Python-based ETL pipelines to acquire, transform, and unify large-scale datasets;
  • Implement data validation, transformation, and reconciliation logic to ensure data quality and consistency;
  • Collaborate with compliance, audit, and business stakeholders to align data solutions with regulatory requirements;
  • Document code, workflows, and data lineage to meet governance and audit standards;
  • Proactively identify data quality issues and troubleshoot complex pipeline or reporting problems;
  • Contribute to automation and performance improvements within the data engineering ecosystem.

What You’ll Bring

  • Advanced Python programming experience with a focus on data engineering;
  • Strong knowledge of ETL, data modeling, and transformation techniques;
  • Familiarity with libraries and frameworks such as Pandas, PySpark, SQLAlchemy, or similar;
  • Solid SQL skills and experience working with relational databases;
  • Exposure to regulated data environments (financial services or compliance) is a strong plus;
  • Ability to communicate effectively with both technical and non-technical stakeholders;
  • Detail-oriented with a strong commitment to data quality and integrity

Not checking every single requirement?

If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let’s meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. 



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