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Data Engineer at Diversified Services Network, Inc.. Diversified Services Network, Inc. (DSN) is seeking a full-time . Data Engineer . to join our team in . 100% Remote or open to all CAT hubs (Chicago, Dallas, Peoria, Champaign, Westminster! . We offer full benefits, PTO, 401k, and more! If you're looking to grow your technical career within an extremely reputable, stable Fortune 500 company - let's talk!.  . JOB RESPONSIBILITIES:.                   . ·         Perform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture – SQL, Snowflake, AWS. ·         Develop a break/fix solution and address the root cause in the data pipeline implementation/code – Python, AWS. ·         Develop scripts and automation tools to better detect and correct data issues.. ·         Develop monitoring and alerting capabilities to proactively detect data issues. ·         Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.. ·         This position will contribute significantly to the efficiency and effectiveness of our data operations, enabling the team to deliver high-quality data solutions and support to various business units.. ·         Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve the quality and performance of assigned digital product data.. ·         Issue Identification: Reports in all forms from customers, dealers, industry representatives, and subsidiaries.. ·         Issue Investigation: Statistical analysis, data triage, and infrastructure problem-solving.. ·         Issue Resolution: Identify root causes, create SageMaker scripts to fix data, and perform break/fix tasks on data pipeline code.. ·         Develop scripts and automation tools to better detect and correct data issues.. ·         Develop monitoring and alerting capabilities to proactively detect data issues.. ·         Work directly on complex application and technical problem identification and resolution, including responding to off-shift and weekend support calls.. ·         Communicate with end users and internal customers to help direct the development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.. EDUCATION & EXPERIENCE REQUIRED:. ·         Bachelor’s OR Master’s degree rom an accredited college or university or equivalent experience.. ·         5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.) . REQUIRED SKILLS:. ·         5-7 years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.). ·         Experience with development and delivery of microservices using serverless AWS services (S3, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM). ·         4 year or more of experience in a Cloud environment (AWS, Snowflake) . ·         Strong SQL and Python.  . DESIRED SKILLS:. ·         Strong AWS experience, including SageMaker, S3, RDS, Cloudwatch and related services. ·         Strong Snowflake experience. ·         Strong SQL, Python development skillset. ·         Understanding of logical data Domains, primarily Customer & Equipment Domains. ·         Experience in Data Operations, Tier 2 Support, or comparable Data Engineering Support role. ·         Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores,business intelligence reporting, and big data analytics.. ·         Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).. ·         Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.. SOFT SKILLS REQUIRED:. ·         Verbal and written communication skills. Ability to clearly communicate complex technical ideas. ·         Problem solving skills, customer service and interpersonal skills. ·         Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment. Company Location: United States.