Apidel Technologies

Data Engineer

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Job Description

Duration: 12 + Month

Summary

  • As a Data Engineer, you will work closely with a multidisciplinary agile team to build high-quality data pipelines driving analytic solutions.
  • These solutions will generate insights from our connected data, enabling us to advance the data-driven decision-making capabilities of our enterprise.
  • This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
  • The ideal candidate is a skilled data/ software engineer with experience creating data products supporting analytic solutions.
  • They are an agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.

Responsibilities

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
  • Solve complex data problems to deliver insights that help our business to achieve their goals.
  • Create data products for analytics and data scientist team members to improve their productivity.
  • Advise, consult, mentor, and coach other data and analytic professionals on data standards and practices.
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.
  • Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve our productivity as a team.
  • Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.

Job Requirements:

Experience

  • 5 years of experience working in data engineering or architecture role, 7+ preferred.
  • Expertise in SQL and data analysis and experience with at least one programming language (Python/ PySpark or Scala preferred).
  • Experience developing and maintaining data warehouses in big data solutions.
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (preferred).
  • Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud data lake technologies.
  • Worked with BI tools such as Tableau, Power BI, Looker, Shiny.
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (Preferred).
  • Familiarity with the Linux operating system (Preferred).
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/ or applied mathematics.
  • Experience working on a collaborative Agile product team.

Skills

  • Passionate about Agile software processes, data-driven development, reliability, and experimentation.
  • Self-motivated with strong problem-solving and learning skills.
  • Flexibility to changes in the work directly as the project develops.
  • Excellent communication, listening, and influencing skills.
  • Demonstrated strong number sense, intellectually curious, and willing to adjust position based on additional information.
  • Strong work ethic; ability to work at an abstract level and gain consensus.

Education

  • Bachelor’s degree required; Computer Science, MIS, or Engineering preferred.

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Job Summary

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Allentown, Pennsylvania Location
Permanent Job Type
Apidel Technologies