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Lead I - Data Engineering @ UST

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 Lead I - Data Engineering

Job Description

Experienced Data Engineer with 5+ years of hands-on development using Python (preferred), along with strong proficiency in Scala, Java, or C#. Skilled in designing and building high-performance, scalable data pipelines and architectures. Specialized in working with PySpark on Databricks, and experienced across a range of data engineering tools including Snowflake, BigQuery, Apache Spark, Hive, Hadoop, Cloudera, and Redshift.

Key Competencies:

  • Programming & Development: 5+ years of experience developing data-centric applications using Python (preferred), with additional expertise in Scala, Java, or C#.

  • Big Data & Cloud Platforms: Deep experience with cloud-based and on-premise data platforms including Databricks (PySpark), Snowflake, BigQuery, Hive, and Hadoop ecosystems.

  • Data Pipeline Architecture: Proven ability to design and implement high-performance ETL/ELT pipelines with strong guarantees around idempotency, exactly-once and at-least-once processing, fault tolerance, eventual and transactional consistency, and observability.

  • Containerization & DevOps: Proficient in developing and deploying applications in containerized environments using Docker, Kubernetes, and Rancher.

  • Workflow Orchestration: Experienced in orchestrating complex data workflows using Apache Airflow or similar tools.

  • Education: Bachelor's degree in Computer Science or a related field, or equivalent combination of education and professional experience


Required Skills

Python,Pyspark,Databricks

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): Hosur

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Keyskills:   hive cloudera kubernetes data scala amazon redshift pyspark docker sql cloud java apache spark devops data pipeline architecture hadoop bigquery big data etl programming c# snowflake python workflow airflow microsoft azure elt data engineering data bricks environment rancher aws

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