Analytics Engineer
Title
AnalyticsEngineer
Location
SaintPaul MN (Onsite)
Rate
DOE / If your experience and skills match call us immediately forsubmission
Duration
24Months
InterviewType
EitherWebcam Interview or InPerson
JobType
C2CW2
JobDescription
SampleTasks
- Createdatasets for analytical purposes including datasets for end usersto import into desktop tools and datasets for BI developers toimport into analytics and BItools.
- Build semantic layersand models that enable the rest of the organization to consumeanalytics moreefficiently.
- Build the datapipelines that feed into data science and machine learningmodels.
- Delivers welldefinedtransformed tested documented and codereviewed datasets foranalysis
- Builds dataaggregation pipelines using Python Apache Airflow Spark SQL etc.
- Creates robust datamodels and architectures to support analyticsinitiatives
- Identifies andimplements optimizations to continually enhance query performancereduce processing time and increase overallproductivity
- Designs develops andmaintains data pipelines to ensure efficient and reliable ETLprocesses
- Implements andmaintains analytics systems data warehouses or data lakes to storeand manage structured and unstructureddata
- Creates and maintainsdashboards visualizations and reports using tools such as TableauPower BI or Looker to enable datadrivendecisionmaking
- Ensures data qualityand accuracy by implementing data validation monitoring anderrorhandlingprocesses
- Provide knowledgetransfer
Qualifications
- 25 yearsof experience in data analytics data engineering softwareengineering or a similarrole
- Expertise in datamodeling ETL development and dataanalysis
- Strong ability in SQLfor data extraction and manipulation and proficiency in datawarehousing concepts / tools such as Redshift andSnowflake
- Familiarity withcloudbased data platforms such as AWS GCP and Azure for datastorage andprocessing
- Substantialprogramming ability using languages / tools such as R PythonJavaScript Scala and C for data manipulation andscripting
- Solid understandingof relevant data governance data quality and data security bestpractices
- Knowledge of ETLprocesses data integration and data warehousingconcepts.
- Familiarity with datavisualization tools such as Tableau Power BI andLooker
- Knowledge of big datatechnologies and distributed computing frameworks such as Hadoopand Spark
- Strong problemsolvingskills and the ability to think critically andanalytically
- Excellentcommunication skills to effectively collaborate withcrossfunctional teams and present insights to businessstakeholders
- Ability tocollaborate with business stakeholders to understand theiranalytics needs and deliver comprehensive reports dashboards andmodels
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