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Data Engineer

2 months ago

Madison, United States EXOS TALENT Full time

Hybrid - WILL NEED TO BE ONSITE at least 2 times a week in Madison, Indiana.


- No Sponsorship.


The Data Engineer would leverage their expertise in engineering solutions that work with structured and unstructured datasets to optimize company-wide business problems, Machine Learning Models and bring data-driven solutions into production to make real business impact. The Data Engineer would build data pipelines that drive analytic solutions. This role requires deep understanding of data architecture, data engineering and a basic understanding of data analytics & data science techniques and workflows. The ideal candidate is a skilled data and software engineer with experience creating data products supporting analytic solutions for multiple teams, systems & products.


Essential & Secondary Functions:


Responsibility & Customer-Focused:

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals using Azure Data Factory and SSIS
  • Have working experience with the Big Data technology like Azure.
  • Advanced working SQL knowledge and experience working with relational databases, DB2 databases, working familiarity with the variety of databases.
  • Experience writing complex T-SQL scripts in SQL Server Management Studio (SSMS) to interact with relational databases using DDL, DML, DQL, and TCL commands.
  • Advanced working Python or R knowledge.
  • Basic understanding of Machine Learning techniques.
  • Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals.
  • Create data products for analytics team.
  • Prepare data for prescriptive and predictive modeling.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Advice, 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 to improve the organization’s productivity as a team.
  • Experience supporting and working with cross-functional teams in dynamic environment.
  • Partner with business analysts and solution architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Responsible to follow and carry out corporate procedures, policies, guidelines, legal requirements, etc.


Integrity:

  • Use skills, training, and experience to provide a safe work environment for the production and on-time delivery of quality products.


Safety:

  • Responsible to follow all safety procedures and practices.
  • Use skills, training, and experience to provide a safe work environment for the production and on-time delivery of quality products


Quality:

Ensures and maintains the quality guidelines, procedures, and standards are consistently followed throughout the manufacturing operation.


Other Functions:

Required to follow any other instructions and to perform any other duties as requested by supervisor.


Competencies:


  • Safety Awareness
  • Quality Driven
  • Respectful
  • Honesty
  • Customer Driven
  • Family Oriented
  • Responsible
  • Innovative
  • Responsible Corporate Citizen
  • Team Player
  • Positive Attitude
  • Detail Oriented
  • Effective Communication (written and verbal)
  • Results Oriented
  • Process Improvement
  • Cooperation with Others