Hi ::

 

We have a requirement of "Senior Data Engineer (100 % Remote)" for our own
company. Please go through the JD and let me know if you have any suitable
candidates.

 

Role: Senior Data Engineer 

Location: 100 % Remote

Duration: 12 Months

  

Required Skills :

*       Bachelor's degree (BS/BA) in Information Systems, Software
Engineering, Computer Science, Data Engineering, or related field required.
Master's degree (MS/MA) preferred.
*       Need 10-12 years of experience with ETL/ELT, taking data from
various data sources and formats and ingesting into a cloud-native data
warehouse required.
*       Experience with Azure Stack (Data Lake/Blob Storage, PowerBI
Services, Azure Data Factory (or equivalent), Databrick) and production
level experience with on-premises Microsoft SQL Server required.
*       Experience with one of the following: Python, R, and/or Scala as
well as standard analytic libraries/packages (e.g., pandas, Numpy, dplyr,
data table, stringr, Slick, and/or Kafka) and related distribution
frameworks required.
*       Strong verbal and written communication skills required.
*       Familiarity with agile and lean concepts that drive towards MVPs and
iterative learning to generate the desired business and technology outcomes
required.
*       Experience with DataRobot, Domino Data Labs, Salesforce MC, Veeva
CRM preferred.
*       Familiarity with modern data stack components like Snowflake, dbt,
Stitch, Tableau, and Airflow
*       Familiarity with statistical concepts and analytic modeling (e.g.,
regression analyses, hypothesis testing, and ML based modeling) preferred.
*       Experience with software engineering best practices like version
control with Git and CI/CD preferred.
*       Experience with US healthcare and healthcare data, as well as
familiarity with HIPAA guidelines, and best practices for handling and
storing PHI and PII preferred.
*       Experience with healthcare marketing analytics, healthcare data
(claims), and common medical coding sets (ICD, HCPCs, NPIs) preferred.

 

JOB RESPONSIBILITIES:

*       Work independently to solve open-ended questions.
*       Develop and maintain end-to-end data pipelines using cloud-native
solutions to extract, load, and transform data from disparate data sources
to a cloud data warehouse.
*       Capable of formatting and distributing custom data extracts through
various means (e.g., custom SFTPs, APIs (e.g., RESTful), and other bulk data
transfer mediums) and optimizing data storage options based on business
requirements.
*       Create models to transform raw data into analytics ready data
structures.
*       Competent in helping to develop/design database structure and
function, schema design, and database testing protocols.
*       Create connectors for data pipelines to ingest data from disparate
sources into a data warehouse.
*       Contribute to the process of defining company data assets (data
models) and custom client workflows, as well as standardized data quality
protocols.
*       Capable of independently and collaboratively troubleshooting
database issues and queries for improving data retrieval times across
various systems (e.g., via SQL).
*       Collaborate with both technical and non-technical stakeholders
including IT, Data Science, and
*       various team members across a diverse array of business units.
*       Work closely with IT team whenever necessary to help facilitate,
troubleshoot, or develop database connectivity between internal/external
resources (e.g., on-premises Azure Data Lakes, Data Warehouses, and Data
Hubs).
*       Help implement and enforce enterprise reference architecture and
ensure that data infrastructure design reflects enterprise business rules as
well as data governance and security guidelines.
*       Communicate and collaborate with business and technical stakeholders
to gather business needs as well as functional requirements that inform
product and resource design and ensure that technical implementation
considerations are understood and accepted.

 

 

 

 

 

 

"In case I missed your call, Email is the best way to reach me " 

 

Thanks & Regards

Adam Noel



Technical Recruiter

Email :  <mailto:[email protected]> [email protected] 

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