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ektello is partnering with a healthcare leader in Philadelphia to find an Analytics Engineer to join their growing team. This team is looking for a local candidate who can support onsite needs as needed. Must be able and willing to work on W2 without sponsorship as this client prefers to hire in the future.
The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development, ELT performance, timely loading of data sets, and maintenance. Essential Functions:
Collaborate with business subject matter experts, data analysts, and data scientists to understand/identify the opportunities to develop well-defined, integrated, re-usable data sets which power analytics.
Codify reusable data access patterns to speed up time to insights.
Perform Logical and Physical data modeling with an agile mindset.
Utilize software development practices such as version control via Git, CI/CD, and release Management. Build data products using various visualization, BI tools and data science tools.
Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.
Required Skills & Experience:
Minimum of six (6) years of experience working in data and analytics landscape.
Strong SQL, Data Modeling and Data Warehousing fundamentals.
Experience with software development practices; version control, code review, CI/CD.
Experience with data integration tools: DBT, Informatica, MS Integration Services etc.
Experience with big data toolset: Hadoop, Spark, Kafka, Hive, Sqoop etc.
Experience working with Business Intelligence Tools (Business Objects) or Visualization tools such as Qlik, Tableau, Power BI etc.
Experience with stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc. -Good hands-on experience with Linux (RHEL/Debian) operating system.
Ability to code with other scripting languages such as Python, Bash, groovy etc.
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