Analyze and interpret complex data Ability to identify data anomalies and resolve data issues.
Understand speciﬁc business processes and domain concepts and relate them to data subject domains.
Optimize SQL queries, scripts, and stored procedures in Snowﬂake and SQL Server to improve eﬃciency and reduce processing time.
Integrate and manage data from various sources, ensuring data quality, reliability, and performance
Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowﬂake.
Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance.
Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences.
Develop and implement data models within Snowﬂake to support business intelligence and analytics requirements.
Collaborate with Data Leads, Product Managers and QA Engineers to validate requirements, participate in user requirement sessions.
Perform tests and validate data ﬂows and prepare ETL processes according to business requirements.
Perform ETL tuning and SQL tuning.
Ability to document data ﬂows representing business logic in ETL routines.
Design and implement data conversion strategy from legacy to new platforms.
Perform design validation, reconciliation, and error handling in data load processes.
Design and prepare technical speciﬁcations and guidelines including ER diagrams and related documents.

Requirements

Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowﬂake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms.
Knowledge of AWS Infrastructure including S3, SNS, EC2, CloudWatch and RDS.
8+ years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS.
Experience in business intelligence, data warehousing initiatives.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or MS SQL Server or Snowﬂake.
Strong SQL and Python skills with experience in query optimization and performance.
Strong analytical, problem-solving, and communication skill.
Bachelor’s in mathematics, Computer Science or related technical ﬁeld.
Experience with additional ETL tools, data transformation methods, or cloud platforms is a plus.
Healthcare and PBM: PBM-speciﬁc knowledge and experience with transforming various healthcare data is a plus, but not required.
Experience with Matillion ELT tool and Snowﬂake Database is preferred.
Experience in building AWS Data Pipelines using Python or Spark, SparkSQL in any of Cloud Environments (AWS / Azure / Google).

Benefits

RxSense believes that a diverse workforce is a more talented and productive workforce.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLETLdata modelingdata warehousingdata transformationquery optimizationPythonMatillion ETLSnowflakeAWS

Soft skills

analyticalproblem-solvingcommunication