Lead I - Data Engineering

Who we are:

At UST, we help the world’s best organizations grow and succeed through transformation. Bringingtogether the right talent, tools, and ideas, we work with our client toco-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.

Summary:

UST is looking for an experienced Databricks Lead / Technical Lead with 8+ years of overall experience to lead the design, development, and delivery of scalable data engineering solutions, combining technical leadership with hands-on engineering, Spark/Databricks optimization, and team mentoring.

The Opportunity:

Lead the design and development of scalable data pipelines and data-processing solutions using Databricks and Apache Spark. · Develop and optimize complex data transformations using PySpark/Python and SQL. · Design efficient ETL/ELT workflows for high-volume datasets. · Perform performance tuning and optimization of Spark jobs, SQL queries, and data pipelines. · Provide technical leadership, design guidance, and hands-on support to the engineering team. · Conduct code reviews and ensure adherence to coding and engineering best practices. ·· Troubleshoot complex data, performance, and production issues. ·· Collaborate with business analysts, architects, data engineers, and other stakeholders to translate business requirements into technical solutions. ·· Mentor team members and drive effective technical problem-solving. ·· Ensure data quality, reliability, maintainability, and scalability of implemented solutions.

What you need:

8+ years of overall experience, with strong hands-on data engineering experience. ·· Strong experience in data engineering and ETL/ELT development. ·· Experience working with large-scale datasets and distributed data-processing systems. ·· Strong analytical, debugging, and problem-solving skills. ·· Strong communication and technical leadership skills.

Required Skills:

Apache Spark / PySpark ·· Databricks (strong hands-on experience) · SQL (complex queries, joins, aggregations, optimization, and data analysis) · Python programming · Large-scale distributed data-processing systems

Desired Skills:

Delta Lake / Delta tables · Databricks workflows and job orchestration · Cloud experience with Azure or AWS · CI/CD and DevOps practices for data engineering · Data modeling and data warehouse concepts · Git / version control and automated deployment practices

Qualification:

Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent professional experience).

What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

USTreserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

• To support and promote the values of UST.

• Comply with all Company policies and procedures