FinThrive · 11 hours ago
Senior Data Engineer
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Responsibilities
Develop complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights, address reporting and data science needs
Ensure that data pipelines are observable, scalable, reliable, and secure
Improve data quality and integrity
Contribute to a high-performance culture, problem-solving, learning, and collaboration across data and analytics department
Qualification
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Required
Bachelor's degree in computer science, Engineering, or Applied Science
3+ years’ experience in Data Engineering and/or Software Engineering
2 years’ experience in big data technologies like Hadoop, Spark, Hive, Databricks etc.
Strong coding skills in Python/PySpark/Scala/Java or equivalent
Proficient in SQL and data analysis
Proficient in Linux and Bash shell scripting
Experience in agile software development lifecycle and DevOps
Excellent communication, presentation, leadership, problem-solving and analytical skills
Preferred
Hands-on work in on-prem to cloud migration, preferably in Azure
Azure experience as it pertains to PaaS (Platform as a Service) offerings (Synapse, ADLS, DataBricks, Event Hubs, CosmosDB, Azure ML, etc.)
Experience in infrastructure as code and automating production data and ML pipelines
Knowledge of data warehouses/lakes/lake houses
Company
FinThrive
FinThrive is a revenue management company that provides medical billing and coding services.
H1B Sponsorship
FinThrive has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (20)
2022 (10)
Funding
Current Stage
Late StageRecent News
Healthcare IT News
2024-12-04
2024-11-19
Company data provided by crunchbase