Data Engineering Senior Analyst

$54,496 - $161,990/Yr

Hitec - Columbus, OH

posted 2 months ago

Full-time - Mid Level
Columbus, OH
10,001+ employees
Merchant Wholesalers, Durable Goods

About the position

The Advanced Technology Centers (ATCs) serve as a pivotal force in the transformation journey of our clients, leveraging a vast network of over 255,000 professionals across 24 countries. Our mission is to provide seamless access to industry insights and innovative technology solutions, enabling our clients to navigate the complexities of the modern business landscape. As part of this dynamic environment, the Data Engineering Senior Analyst will play a crucial role in addressing the unprecedented challenges faced by our clients in an ever-evolving global market. In this position, you will be immersed in a collaborative network of technology and data experts, tackling some of the most complex business challenges using cutting-edge data and analytics technologies. The role is designed for those who thrive in a non-traditional work setting, where no two days are the same, and opportunities for impactful contributions are abundant. You will have the chance to work in various capacities, including Data Scientist, Data Engineer, or Chief Data Officer, covering all aspects of data management, governance, intelligence, and more. Our inclusive culture values diversity and fosters talent development, providing a platform for you to grow your career in technology at Accenture. This role requires a commitment to working in the local office three days a week, with preferred locations including Columbus, OH; Tampa, FL; and Nashville, TN. We may also consider qualified applicants from Atlanta or Dallas. As a Data Engineering Senior Analyst, you will be expected to create value chains that address data acquisition challenges, lead data modeling activities, and examine data from multiple sources to derive insights that provide a competitive advantage. Your expertise will be instrumental in shaping the future of data-driven decision-making within our organization and for our clients.

Responsibilities

  • Collaborate with a team of data experts to tackle complex business challenges using data and analytics technologies.
  • Create value chains to address challenges related to data acquisition, evaluation, and analysis.
  • Lead data modeling activities to capture and model data requirements, business rules, and logical and physical models.
  • Examine data from multiple sources and share insights that provide a competitive advantage.
  • Work in various roles such as Data Scientist, Data Engineer, or Chief Data Officer, covering all aspects of data management and governance.

Requirements

  • Minimum of 1 year of experience using Python, Spark/Spark SQL, Hive, or Databricks.
  • A Bachelor's Degree or equivalent work experience (12 years) or an Associate's Degree with 6 years of work experience.

Nice-to-haves

  • Experience with programming languages such as C#, Golang, Java, or React JS.
  • Experience with NoSQL databases or data warehousing solutions like CosmosDB, Synapse, Cassandra, DynamoDB, or PostgreSQL.
  • Experience working with cloud platforms such as AWS, GCP, or Microsoft Azure.

Benefits

  • Competitive hourly salary range based on location and experience.
  • Opportunities for professional development and career growth.
  • Inclusive culture that values diversity and collaboration.
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