Leading national automotive sub-prime consumer finance company has a Senior Data Engineer career opportunity open at the national headquarters in Carmel, Indiana. This is a hybrid position that requires 3 days in the office each week. We offer a competitive starting pay based on experience, great benefits and a newly remodeled corporate office.

Job Summary for Senior Data Engineer: 

We seek a highly skilled and experienced Senior Data Engineer to join our dynamic team.  As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, reliability, and performance of our data systems.  You will drive the data engineering initiatives and collaborate closely with cross-functional teams to support data-driven decision-making within the organization.  You must also be skilled at finding solutions to problems while keeping the environment well-structured, stable, and secure.  This position reports to the Director of Solutions Engineering. 

Specific Responsibilities for Senior Data Engineer: 

     Data Architecture: Lead the design and development of complex data pipelines, data models, and data integration solutions that meet business requirements and performance standards

     Data Ingestion: Architect and oversee the development of efficient and scalable data ingestion processes from various sources, including databases, APIs, and external data providers (AWS Redshift, AWS DynamoDB, AWS S3, MS SQL, etc.)

     Data Transformation: Develop advanced data transformation pipelines and ETL processes to convert raw data into structured and meaningful formats

     Data Quality: Establish and enforce best practices for data quality, validation, cleaning, and error handling

     Data Storage: Manage and optimize data storage solutions, including databases, data lakes, and cloud storage services

     Data Security: Implement advanced data security measures and access controls to protect sensitive data

     Performance Optimization: Continuously monitor and optimize the performance of data pipelines and databases, implementing best practices to ensure efficient data processing

     Collaboration: Collaborate closely with leadership, analysts, and business stakeholders to understand their data requirements and deliver advanced data solutions that meet their evolving needs

     Innovation: Stay at the forefront of emerging data engineering technologies, industry trends, and best practices, and drive innovation within the data engineering domain

     Documentation: Maintain comprehensive documentation of data pipelines, data models, and processes, and ensure knowledge sharing within the team 

Products and Stacks for Senior Data Engineer:

Languages

     C#

     Python

     TSQL

     Java

     Scala

Frameworks

     .Net Core

     .Net Framework

     ASP .NET

Database

     MS SQL

     DynamoDB

     Redshift

     Postgresql

Amazon Web Services

     ECS

     Cloudwatch

     Lambda

     S3

     Secrets

     DynamoDB

     API Gateway

     SNS

     SQS

     SES

     CloudFormation

     Glue

Azure Cloud Services

     Service Fabric Clusters

     Service Bus

     App Services

     Application Insights

     Key Vaults

     Databricks

     Function Apps

Tools and Platforms

     Docker

     Bitbucket

     Azure Devops

     Jira

     Confluence

     Lucidspark

     Looker

Skills of Senior Data Engineer:

     Proven experience as a Senior Data Engineer, with a strong understanding of information data security and data access controls

     Proficiency in programming languages such as Python, Java, or Scala

     Strong SQL skills and deep experience with database technologies (e.g., SQL, NoSQL)

     Expertise in data warehousing and ETL tools (e.g., Kodda, AWS Glue)

     Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)

     Extensive knowledge of data modeling techniques and data warehouse design

     Excellent problem-solving and communication skills 

     Ability to work collaboratively in a team, adapt to a fast-paced, evolving environment, and work individually to accomplish goals

     Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)

     Familiarity with big data technologies and tools (e.g., Hadoop, Spark)

     Strong commitment to data accuracy, data quality, and data security

     Ability to work with minimal supervision.   

Qualities of Senior Data Engineer: 

     Strong teamwork is a must

     Resilience and resourcefulness

     Strong customer service focus

     High energy with self-motivation

     Ability and eagerness to solve problems 

Educational Requirements of Senior Data Engineer: 

     Bachelor's degree in Computer Science, Information Technology, or equivalent experience

     Technology-related certifications are a plus 

Experience Required of Senior Data Engineer: 

     3+ years of Python experience

     3+ years of SQL experience

     3+ years of experience with data modeling and data warehousing

     Experience with frameworks and products described in “Products and Stacks” section

     Experience with standard tools such as Atlassian product suite, AWS, and/or Azure DevOps