US Citizen
H1B Work Permit
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 25th Feb 2023
Summary:
The Data Science Engineer will work closely with the Business Intelligence, Analytics, and Data Engineering & Services teams. This position will lead efforts in building and maintaining structured and unstructured data pipelines as well as perform analyses and draw insights to inform business decisions.
Essential Duties & Functions:
● Overseeing data functions such as ingestion of structured/unstructured data, transformation, standardization, and QA to build robust and automated data pipelines.
● Document and maintain robust processes that move large amounts of complex data between multiple data storage systems including text extracts, RDBMS, and parquet formats.
● Perform deep-dive analyses using SQL & python data science & big data tools to garner actionable insights and identify and clean complex data quality issues.
● Working with SQL, Python, and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines.
● Monitoring, reviewing, and analyzing inbound and outbound data.
● Proactively identifying issues and trends through data analysis and manipulation.
● Presenting findings in reports and utilizing various visualization techniques and tools like Power BI and Python data visualization tools.
● Communicating effectively with cross-functional teams.
● Creating and maintaining code through the GitHub repository for change control.
● Supporting off-hours data processing and emergency requests
Experience, Qualifications, Knowledge, and Skills:
● Advanced Python skills including popular data science libraries such as Pandas, NumPy, Matplotlib, or similar.
● Advanced SQL skills. Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.
● Experience with AWS.
● Experience with Rust is a big plus.
● Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years of related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
● Strong health care data knowledge (medical claims data, clinical data, pharmacy data, and eligibility data) preferred.
● Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.
● Experience working independently, contributing as a member of the team, and result driven.
● Strong presentation skills to explain and present advanced statistical methods using non-technical language to key business stakeholders.