Senior Quality Engineer

at  Luxoft

PROJECT DESCRIPTION

Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments.

Client attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

• Diverse and inspiring colleagues and approachable leaders
• Stimulating work in a fast-paced, intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Being motivated every day by important social purpose and unshakable principles
• A deeply rooted culture of Integrity, Partnership and High Performance

If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity.

SKILLS

Must have
Technical Skills:
Python: Proficiency in Python programming for data manipulation, automation, and scripting.
Pandas: Strong experience with the Pandas library for data analysis and manipulation.
AWS Managed Airflow: Hands-on experience with AWS Managed Airflow for orchestrating data pipelines.
Data Quality Checks: Expertise in implementing and maintaining data quality checks to ensure data integrity and accuracy.
Data Pipelines: Proven experience in designing, building, and maintaining data pipelines.
Proficiency in SQL and non-sql databases
SQL: Proficiency in writing and optimizing SQL queries
ETL Processes: Experience with Extract, Transform, Load (ETL) processes and tools.
Experience:
3+ years of professional experience in data engineering or data quality engineering roles.
Nice to have

Manage timelines/deliverables within the team towards the successful delivery of projects.
Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
Develop solutions that are in line with client’s technology biases, deliver efficiency and scalability, and enable new trading activities.
Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.