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Data engineer data integration

Remote / Online - Candidates ideally in
San Antonio, Bexar County, Texas, 78201, USA
Listing for: EPAM
Full Time, Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Описание:

EPAM develops enterprise software products, open source solutions, and technology accelerators.

Задачи:
  • Design, build, and optimize scalable batch and near-real-time ETL/ELT pipelines;
  • Develop and manage complex workflow orchestrations and automate ingestion routines;
  • Design and implement data warehouse and lakehouse layers with partitioning, indexing, and SCD Type 2 patterns;
  • Establish data quality checks and validation frameworks;
  • Define data requirements, analyze technical constraints, design Source-to-Target Mappings, and make architectural decisions;
  • Maintain a clean, modular code repository;
  • Lead code reviews and enforce engineering standards;
  • Configure CI/CD pipelines with Docker containers;
  • Deliver technical specifications, metadata lineage documentation, architectural diagrams, and data dictionaries.
Требования:
  • 5+ Years of hands-on experience in data engineering, data warehousing, database design, and end-to-end data integration;
  • Advanced knowledge of cloud integration tools such as Azure Data Factory, AWS Glue, or GCP Dataflow;
  • Proficiency with Apache Airflow and exposure to CDC or real-time streaming tools such as Kafka and Debezium;
  • Production-level coding skills in SQL, Python, and PySpark / Apache Spark;
  • Experience with high-performance databases and cloud-native systems such as Snowflake, Click House, PostgreSQL, MS SQL Server, or Azure Synapse;
  • Master-level understanding of OLAP, OLTP, Star and Snowflake schemas, Delta Lake/Lakehouse patterns, and data staging processes;
  • Hands-on experience with Git and automated CI/CD deployment pipelines for data products;
  • Ability to explain complex technical ideas clearly to business stakeholders and developers;
  • Fluency in English at Upper-Intermediate level or higher;
  • Nice to have: deep knowledge of dbt and schema validation practices, Docker or Kubernetes experience, serverless ingestion services using AWS Lambda or Azure Functions and RESTful APIs.
Условия:

Remote work is available in Georgia and four other locations.

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