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Lead I - Data Engineer @ UST

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 Lead I - Data Engineer

Job Description

Data Engineer - Job Description

We are looking for a highly skilled Data Engineer to design, build, and maintain robust data pipelines and infrastructure. This role requires expertise in Python, PySpark, SQL, and modern cloud platforms such as Snowflake. The ideal candidate will collaborate with business stakeholders and analytics teams to ensure the efficient collection, transformation, and delivery of data to power insights and decision-making.

Responsibilities
  • Understand business requirements, system designs, and security standards.

  • Collaborate with SMEs to analyze existing processes, gather functional requirements, and identify improvements.

  • Build and streamline data pipelines using Python, PySpark, SQL, and Spark from various data sources.

  • Support data cataloging and knowledge base development.

  • Develop tools for analytics and data science teams to optimize data product consumption.

  • Enhance data system functionality in collaboration with data and analytics experts.

  • Communicate insights using statistical analysis, data visualization, and storytelling techniques.

  • Manage technical and business documentation for all data engineering efforts.

  • Participate in hands-on development and coordinate with onshore/offshore teams.

Requirements
  • 5+ years of experience building data pipelines on on-premise and cloud platforms (e.g., Snowflake).

  • Strong expertise in Python, PySpark, and SQL for data ingestion, transformation, and automation.

  • Experience in developing Python-based applications with visualization libraries such as Plotly and Streamlit.

  • Solid knowledge of data engineering concepts and practices including metadata management and data governance.

  • Proficient in using cloud-based data warehousing and data lake environments.

  • Familiarity with ELT/ETL tools like DBT and Cribl.

  • Experience with incremental data capture, stream ingestion, and real-time data processing.

Preferred Qualifications
  • Background in cybersecurity, IT infrastructure, or software systems.

  • 3+ years of experience in cloud-based data warehouse and data lake architectures.

  • Hands-on experience with data visualization tools (e.g., Tableau, Plotly, Streamlit).

  • Strong communication skills and ability to translate complex data into actionable insights.

Technical Skills
  • Python

  • PySpark

  • SQL

  • Snowflake (or other cloud data platforms)

  • Plotly, Streamlit, Flask, Dask

  • ELT/ETL tools (DBT, Cribl)

  • Data visualization (Tableau, Plotly)

  • Metadata management & data governance

  • Stream processing & real-time data ingestion


Required Skills

Python,Sql,Cloud Platform

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: UST
Location(s): Thiruvananthapuram

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Keyskills:   metadata management pyspark data pipeline sql cloud automation spark data ingestion data visualization etl data lake communication skills architecture snowflake python cloud platforms transformation elt data engineering cloud platform environment tableau concepts dask flask

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UST

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