Senior Data Engineer - Databricks, Pipelines & DevOps

EPAM Systems Inc

United States

Remote

USD 120,000 - 190,000

Full time

2 days ago
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Job summary

EPAM Systems is seeking a Senior Data Software Engineer with a DevOps focus to join our developer team as the first line of defense, handling tickets, root cause analysis, and providing efficient fixes at 1st level support. You will build data pipelines, enhance data processing engines, and develop AI tools, collaborating with diverse stakeholders across data management, marketing, and sales operations.

The role requires strong SQL, experience with Databricks, and knowledge of SAFe or agile

Qualifications

  • 3+ years of experience with Databricks.
  • Proficiency in SQL.
  • Skills in Python, Java, Scala, Spark (PySpark), or JavaScript.
  • Experience with REST APIs, SFTP servers, and SDKs.
  • Understanding of CI/CD concepts.
  • Understanding of Data lakes/lakehouses concepts.
  • Knowledge of SAFe or other agile methodologies.
  • Proficiency in English at a B2+ level.
  • Nice to have SAP-related tools and platforms.

Responsibilities

  • Build data pipelines to ingest data from 20+ sources.
  • Improve internal data processing engines with cleanup, normalization, quality control, matching, and merging with performance focus.
  • Build and manage data-related simple full stack applications.
  • Build and manage data-related AI tools and solutions.
  • Deliver requirements from stakeholders across data management, marketing, and sales operations.
  • Comply with corporate and unit strategies in technical decisions.
  • Deal with REST APIs, SFTP servers, and SDKs.

Skills

Databricks
SQL
Python
Java
Scala
Spark
PySpark
JavaScript
REST APIs
CI/CD
Data lakes
SAFe
English (B2+)
SAP HANA
SAP BTP
Cloud Foundry
SAP Datasphere
SAP Crystal Reports
SAP HANA Cloud

Tools

SAP HANA
SAP BTP
Cloud Foundry
SAP Datasphere
SAP Crystal Reports
SAP HANA Cloud

Job description

EPAM Systems is seeking a Senior Data Software Engineer with a DevOps focus to join our developer team as the first line of defense, handling tickets, root cause analysis, and providing efficient fixes at 1st level support. You will build data pipelines, enhance data processing engines, and develop AI tools, collaborating with diverse stakeholders across data management, marketing, and sales operations.

The role requires strong SQL, experience with Databricks, and knowledge of SAFe or agile

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