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Senior Data Engineer

1 month ago

Dallas, Texas, United States Inabia Software & Consulting Inc. Full time
Job Description

We are seeking a highly skilled Senior Data Engineer to join our team at Inabia Software & Consulting Inc. in Dallas, TX. As a Senior Data Engineer, you will be responsible for designing and implementing data pipelines in AWS environments using Palantir and PySpark.

Key Responsibilities:

  • Design and implement data pipelines in AWS environments using Palantir and PySpark.
  • Write design documents and independently build the data pipes based on the defined source to target mappings.
  • Convert complex stored procedures, SQL triggers, etc. logic using PySpark in the Cloud platform.
  • Be open to learning new technologies and implementing solutions quickly in the cloud platform.
  • Communicate with program key stakeholders to keep the project aligned with their goals.
  • Effectively interact with QA and UAT team for code testing and migrate to different regions.
  • Spearhead data engineering initiatives targeting moderately to complex data and analytics challenges, delivering impactful outcomes through comprehensive analysis and problem-solving.
  • Pioneer the identification, conceptualization, and execution of internal process enhancements, encompassing scalable infrastructure redesign, optimized data distribution, and the automation of manual workflows.
  • Address extensive application programming and analysis quandaries within defined procedural guidelines, offering resolutions that span wide-ranging scopes.
  • Actively engage in agile/scrum methodologies, actively participating in ceremonies such as stand-ups, planning sessions, and retrospectives.
  • Orchestrate the development and execution of automated and user acceptance tests, integral to the iterative development lifecycle.
  • Foster the maturation of broader data systems and architecture, assessing individual data pipelines and suggesting/implementing enhancements to align with project and enterprise maturity objective.
  • Envision and construct infrastructure that facilitates access and analysis of vast datasets while ensuring data quality and metadata accuracy through systematic cataloging.

Requirements:

  • Total 10+ years of experience with 3 plus years of experience in data engineering/ETL ecosystems with Palantir Foundry, Python, PySpark, and Java.
  • Required skills: Palantir.
  • Nice to have skills: PySpark and Python.
  • Expert in writing shell scripts to execute various job scheduler.
  • Hands-on experience in Palantir & PySpark to build data pipes in AWS environments.
  • Good knowledge of Palantir components.
  • Good exposure to RDMS.
  • Basic understanding of Data Mappings and Workflows.
  • Any knowledge of the Palantir Foundry Platform will be a big plus.
  • Implemented a few projects in the Energy and Utility space is a plus.