Lead Data Engineer

Genesis10 is currently seeking a Lead Data Engineer with our client in the manufacturing industry in their Lisle, IL location.

Summary:

As a lead data engineer, you will leverage cutting-edge analytics to unlock the potential within our data, guide critical business decisions and propel sustainable growth.

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 the organization's 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 the organization's productivity as a team

Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes

Partner with analysts and architects to develop technical architectures for strategic enterprise projects and initiatives

Knowledgeable about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Minimum Requirements

Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field

At least 5 years of analytics or statistical analysis experience

OR

Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field

At least 3 years of analytics or statistical analysis experience

OR

At least 7 years of analytics or statistical analysis experience

Desired Skills and Experiences:

Strong proficiency in data munging using SQL and experience with at least one programming language (e.g., Python, pySpark, Scala, etc.,)

Solid experience developing and maintaining data warehouses with Big Data technologies (e.g., Cloudera Hadoop, Snowflake, etc.)

Exceptional with developing solutions on cloud computing services and infrastructure in the data and analytics space

Excellent presentation skills using PowerBI, Tableau, PowerPoint and Excel

Knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.

Proficiency in data analysis techniques, regression, classification, clustering, forecasting, and optimization

Exceptional communication and collaboration skills to understand business partner needs and deliver solutions

Bias for action, with ability to deliver outstanding results through task prioritization and time management

Demonstrated ability to efficiently learn and solve new business domains and problems

Intellectual curiosity to understand and answer questions

Intellectual humility to leverage the expertise of others

Exemplary organizational skills with attention to detail & accuracy

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client.