Lead I - Data Engineering ::

UST · Information Technology · IT Consulting & Digital Transformation · Python · SQL · ETL/ELT · 1 day ago
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Salary
≈ $21k – $45k per year (Estimated)
Location
In office (Thiruvananthapuram)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026. UST scores B on the Alion truth index.

Overview
Company
Impact
Profile match

UST

UST is a leading global digital technology and transformation services company that provides innovative solutions to enterprise clients worldwide. Headquartered in Aliso Viejo, California, the firm specializes in digital consulting, cloud infrastructure, product engineering, and cybersecurity. Founded in 1998, it partners with major organizations across diverse industries to accelerate technological modernization and build agile, scalable business models.
ust.com · HQ: Aliso Viejo, United States · Information Technology · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · 5000+ employees · Est. 1998
Tech stack of UST

Must Have Skills
  • Snowflake (Hands-on development and administration)
  • Cloud Platform Experience (AWS / Azure / GCP)
  • Strong SQL and Data Warehousing Concepts
  • ETL/ELT Development & Data Pipeline Engineering
  • Data Modeling
  • Grafana (Monitoring & Visualization)
  • Python and/or Spark
  • CI/CD & DevOps Practices
  • Git / Version Control

    Good to Have Skills
  • Apache Kafka
  • Apache Airflow
  • DBT (Data Build Tool)
  • Real-time Data Processing & Streaming Architectures
  • Big Data Technologies
  • Data Governance & Data Security Practices
  • Performance Tuning & Optimization

    Job Description

    We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will possess strong expertise in Snowflake, cloud technologies, and modern data engineering practices to support enterprise analytics and reporting requirements.

    Key Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
  • Build and manage data solutions using Snowflake as the enterprise data warehouse.
  • Develop and maintain cloud-native data architectures on AWS, Azure, or GCP.
  • Implement data quality, governance, security, and performance optimization practices.
  • Create and maintain monitoring and observability dashboards using Grafana.
  • Collaborate with business analysts, data scientists, and application teams to deliver data solutions.
  • Troubleshoot data platform issues and drive continuous improvement initiatives.
  • Support both batch and real-time data processing workloads.

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