Job Title

Senior Data Engineer - Byrider Corporate - 12802 Hamilton Crossing Blvd. - Carmel, IN 46032 Rewards for Senior Data Engineer: Competitive starting salaryAnnual bonusGreat benefits & paid time offGrowing national company in business for 37 yearsNice office with plenty of parkingHybrid work schedule Job Summary: 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: 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 formatsData Quality: Establish and enforce best practices for data quality, validation, cleaning, and error handlingData Storage: Manage and optimize data storage solutions, including databases, data lakes, and cloud storage servicesData Security: Implement advanced data security measures and access controls to protect sensitive dataPerformance Optimization: Continuously monitor and optimize the performance of data pipelines and databases, implementing best practices to ensure efficient data processingCollaboration: Collaborate closely with leadership, analysts, and business stakeholders to understand their data requirements and deliver advanced data solutions that meet their evolving needsInnovation: Stay at the forefront of emerging data engineering technologies, industry trends, and best practices, and drive innovation within the data engineering domainDocumentation: Maintain comprehensive documentation of data pipelines, data models, and processes, and ensure knowledge sharing within the team Products and Stacks: Languages C#TypeScriptPythonTSQLJavaScala Frameworks .Net FrameworkASP .NET Database MS SQLDynamoDBRedshiftPostgresql Amazon Web Services ECSCloudwatchLambdaS3SecretsDynamoDBAPI GatewaySNSSQSSESCloudFormationGlue Azure Cloud Services Service Fabric ClustersService BusApp ServicesApplication InsightsKey VaultsDatabricksFunction Apps Tools and Platforms DockerBitbucketAzure DevopsJiraConfluenceLucidsparkLooker Skills: Proven experience as a Senior Data Engineer, with a strong understanding of information data security and data access controlsProficiency in programming languages such as Python, Java, or ScalaStrong SQL skills and deep experience with database technologies (e.g., SQL, NoSQL)Expertise in data warehousing and ETL tools (e.g., Kodda, AWS Glue)Extensive knowledge of data modeling techniques and data warehouse designExcellent problem"‘solving and communication skills Ability to work collaboratively in a team, adapt to a fast"‘paced, evolving environment, and work individually to accomplish goalsExperience with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes)Strong commitment to data accuracy, data quality, and data securityAbility to work with minimal supervision. Qualities: Strong teamwork is a mustResilience and resourcefulnessStrong customer service focusHigh energy with self"‘motivationAbility and eagerness to solve problems Educational Requirements: Bachelor's degree in Computer Science, Information Technology, or equivalent experienceTechnology"‘related certifications are a plus Experience Required: 3+ years of Python experience3+ years of SQL experience3+ years of experience with data modeling and data warehousingExperience with frameworks and products described in the "Products and Stacks" sectionExperience with standard tools such as the Atlassian product suite, AWS, and Databricks #J-18808-Ljbffr