TigerConnect

Santa Monica, CA
51-200 employees
TigerConnect is where healthcare communication & collaboration happens, patient communication thrives, and information is at your fingertips from anywhere.

Sr. Data Analytics Engineer

Sr. Data Analytics Engineer

As the leader in secure, HIPAA compliant messaging and workflow optimization tools, TigerConnect helps physicians, nurses and other staff communicate and collaborate more effectively, accelerating productivity, reducing costs, and improving patient outcomes. Today, healthcare professionals and organizations alike rely on TigerConnect to send millions of messages a day and continually deliver on advanced product innovations. 

As part of the new TigerConnect office in Mexico, we are seeking a dynamic, highly motivated Sr. Data Analytics Engineer to drive the creation and execution of big data solutions that create data driven decision-making capabilities both for the business and our clients. This individual will significantly contribute to providing end-to-end data solutions and making both real-time and aggregate data available to both power a suite of customer facing applications and achieve company business goals. 

What You’ll Own: 

  • Gathering & analyzing business requirements and driving creation/execution of optimal data solutions (data pipelines, data collection, integrations, aggregations, & reporting/analytics)
  • Building & scaling data pipelines for constantly increasing data volumes (10x)
  • Enabling TC teams and stakeholders (product, sales, marketing) to make data driven decisions through data reports and analytics
  • Leveraging open source technologies in M/L for various types of data analytics such as predictive analysis and forecasting 
  • Contributing to data architecture strategy as it relates to achieving immediate and long-term company business goals  

What You Bring to the Table: 

  • Solid understanding of distributed system concepts used in scaling big data technologies with exponential growth of data.
  • Experience with all aspects of the data integration life cycle (source system analysis, ETL development and data model/structure design)
  • Experience with AWS/MR and relational databases such as MySQL.
  • Experience with AWS managed services and tools for ETL jobs to RDBMS, S3 and ElasticSearch.
  • Experience with AWS SNS and SQS for monitoring and alerting.
  • AWS Certifications related to Data and Solutions Architecture is a plus.
  • Strong programming/scripting experience – Java, Map/Reduce, SQL, Python/Shell (AI/ML exposure is a plus)
  • Experience with reporting frameworks (Looker)
  • Experience with Elasticsearch, Kibana, Logstash & Kafka
  • Excellent problem solving, communication, & teamwork skills
  • A strong desire to learn and grow in a dynamic, fast-paced, collaborative, and high-growth startup environment.

What You’ve Accomplished:

  • Minimum of 4+ years developing production grade software with previous experience working on large-scale distributed systems.
  • At least 2 years of experience using big data systems and/or using big data for data analysis.
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