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 a Data Engineering professional with 3–6 years (5+ years preferred) of experience in designing, developing, and maintaining scalable data pipelines, ETL/ELT workflows, and robust data solutions.

The Opportunity:

Design, develop, and maintain data pipelines and ETL/ELT workflows for structured and unstructured data. · Perform data integration, transformation, validation, and data-quality activities. · Analyze business requirements and translate them into efficient data-engineering solutions. · Troubleshoot data pipeline, data integration, and performance-related issues. · Collaborate with business, analytics, application, and data teams to understand data requirements and deliver solutions. · Follow best practices for data quality, reliability, security, scalability, and performance. · Work effectively in Agile/Scrum environments and communicate technical solutions clearly.

What you need:

3–6 years (5+ years preferred) of experience in Data Engineering, data processing, and development of scalable data solutions. ·· Strong understanding of data warehousing, data modeling, and database concepts. ·· Strong analytical, problem-solving, communication, and collaboration skills. ·· Ability to work independently and cross-functionally with analytics and application teams.

Required Skills:

Data Engineering & ETL/ELT workflow development ·· Python programming/scripting for data processing and automation ·· Advanced SQL and data querying techniques ·· Data integration, transformation, and validation ·· Working with structured and unstructured data sources

Desired Skills:

Cloud platforms (AWS, Azure, or Google Cloud) ·· Data platforms and tools (Snowflake, Databricks, Spark, Informatica, etc.) ·· Orchestration tools such as Apache Airflow ·· CI/CD and version-control practices for data engineering ·· Agile/Scrum work environment experience

Qualification:

Bachelor’s or master’s degree in Computer Science, Information Systems, Engineering, 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