Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lifelink Healthtech LLC, is seeking the following. Apply via Dice today!
Only local to Chicago IL
Technical Skills (Must-Have)
- 10 years’ experience in data management, 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+ years of experience in a cloud environment (AWS, Snowflake)
- Strong SQL and Python
Desired Skills (Nice To Have)
- Strong AWS experience, including SageMaker, S3, RDS, CloudWatch and related services
- Strong Snowflake experience
- Strong SQL and 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)
Job Responsibilities
- Perform all necessary data related tasks including data design, data quality, data triage, data governance, or data architecture – SQL, Snowflake, AWS
- Develop break/fix solutions and address root causes in 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
- Work directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls
- Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve quality and performance of assigned digital product data
- Issue Identification: Review reports from customers, dealers, industry representatives, and subsidiaries
- Issue Investigation: Perform 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
- Communicate with end users and internal customers to help direct development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness
- Participate in technical sync-ups and meetings with internal team including US and offshore teams
- Liaise with designers, engineers, and support teams to improve data pipeline performance and reliability
- Perform other job duties as assigned by Caterpillar management from time to time.
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