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Senior Data Engineer (Full Stack, Java)

Endava
Almont, CO Full Time
POSTED ON 11/19/2024 CLOSED ON 12/18/2024

What are the responsibilities and job description for the Senior Data Engineer (Full Stack, Java) position at Endava?

Job Details

Job Description

Job Description
Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

  • Create and maintain optimal data pipeline architecture
  • Implement data products curated by our Chief Data Office, as well as custom data models for fit for use.
  • Ensure data quality and integrity across various data sources and systems to ensure data accuracy, completeness, and reliability.
  • Optimize data pipelines for performance and scalability.
  • Provide technical support to promptly resolve escalated incidents/outages.
  • Develop and document a detailed solution design, impart your subject matter expertise throughout life cycle.
  • Take business, Enterprise Architecture, system performance and development standards requirements, then develop functional, technical and user interface designs for an application and/or system.
  • Find ways to keep costs low, help come up with strategic solutions to support cost effectiveness and enhance stakeholder experience.
  • Conduct code reviews to address quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and support gating and review signoffs for solution design.
  • Ensure design leverages existing reusable components, traces back to business requirements, and that new modules are designed with reusability in mind.
  • Keep up to date with the latest industry trends and technologies related to data engineering.
Qualifications

  • 10 years of relevant experience in a related field of job function.
  • Experience with: Java, Spring,
  • Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc.
  • Experience with relational SQL and NoSQL databases, including Cassandra.
  • Experience designing production grade, scalable applications and microservices.
  • 5 years of Capital Markets experience.
  • Experience working on Agile Teams

Desired:

  • Experience in Python and/or Scala


Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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