31 Oct
Data Engineer - Azure, Data Lake, Data Bricks Warehouse, SQL(ALLENTOWN) W2 Only
Pennsylvania, Lehigh valley , 18101 Lehigh valley USA

Vacancy expired!

This role is located in the Allentown, PA area. W2 candidates only No Agencies INTERESTED? Please send resumes to Scott Hendrickson Scott Hendrickson 973-805-7005 "> "> "> "> Candidates must have Microsoft Azure/Cloud Services like SQL Data Warehouse, Azure SQL Server, Azure Databricks, Azure Data Lake, Azure Blob Storage, Azure Data Factory. 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 the firm to advance the data-driven decision-making capabilities of our enterprise. This role requires 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. 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 helps 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 process 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
Skills
  • Bachelor's degree required; Computer Science, MIS, or Engineering preferred
  • 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
  • Passionate about Agile software processes, data-driven development, reliability, and experimentation
  • Experience working on a collaborative Agile product team
  • Self-motivated with strong problem-solving and learning skills
  • Flexibility to changes in work direction 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
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