Senior Data Engineer

Who We Are

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world. UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world. Visit us at

UST is searching for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.

• As a Senior Data Engineer, you will Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
• Build and optimize scalable data architectures, including data lakes, data warehouses (Big Query), and streaming platforms.
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time data processing.
• Build data ingestion frameworks to collect data from multiple sources including databases, APIs, files, and streaming systems.
• Design and implement real-time streaming solutions using Apache Kafka and Apache Flink.
• Develop event-driven architectures for low-latency data processing and analytics.
• Monitor and optimize streaming applications for throughput, scalability, and reliability.
• Manage Kafka topics, partitions, consumer groups, and stream processing pipelines.
• Performance Tuning:
  Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
• Data Quality:
  Implement data quality checks, monitoring, and ing systems to ensure data accuracy and consistency.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

• Experience range : 8-10 Years
• Programming:
  Strong proficiency in Python, SQL, and potentially Scala/Java.
• Big Data:
  Expertise in Apache Spark (Spark SQL, Data Frames, Streaming).
• Streaming:
  Experience with messaging queues like Apache Kafka, or Pub/Sub.
• Cloud:
  Familiarity with GCP, Azure data services.
• Databases:
  Knowledge of data warehousing (Snowflake, Redshift) and No
  
  SQL databases.
• Tools:
  Experience with Airflow, Databricks, Docker, Kubernetes is a plus.
• Experience and Skills:
• Minimum 8 years overall
• GCP - 4 + years of recent GCP experience
• Qualification:
• Bachelor's Degree in computer science or equivalent experience

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

$72,000-$108,000

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability…