DOE /If your experience and skills match call us immediately for submission
Duration
24 Months
Interview Type
Either Webcam Interview or In Person
Job Type
C2CW2
Job Description
Sample Tasks
Create datasets for analytical purposes including datasets for end users to import into desktop tools and datasets for BI developers to import into analytics and BI tools.
Build semantic layers and models that enable the rest of the organization to consume analytics more efficiently.
Build the data pipelines that feed into data science and machine learning models.
Delivers welldefined transformed tested documented and codereviewed datasets for analysis
Builds data aggregation pipelines using Python Apache Airflow Spark SQL etc.
Creates robust data models and architectures to support analytics initiatives
Identifies and implements optimizations to continually enhance query performance reduce processing time and increase overall productivity
Designs develops and maintains data pipelines to ensure efficient and reliable ETL processes
Implements and maintains analytics systems data warehouses or data lakes to store and manage structured and unstructured data
Creates and maintains dashboards visualizations and reports using tools such as Tableau Power BI or Looker to enable datadriven decisionmaking
Ensures data quality and accuracy by implementing data validation monitoring and errorhandling processes
Provide knowledge transfer
Qualifications
25 years of experience in data analytics data engineering software engineering or a similar role
Expertise in data modeling ETL development and data analysis
Strong ability in SQL for data extraction and manipulation and proficiency in data warehousing concepts/tools such as Redshift and Snowflake
Familiarity with cloudbased data platforms such as AWS GCP and Azure for data storage and processing
Substantial programming ability using languages/tools such as R Python JavaScript Scala and C for data manipulation and scripting
Solid understanding of relevant data governance data quality and data security best practices
Knowledge of ETL processes data integration and data warehousing concepts.
Familiarity with data visualization tools such as Tableau Power BI and Looker
Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark
Strong problemsolving skills and the ability to think critically and analytically
Excellent communication skills to effectively collaborate with crossfunctional teams and present insights to business stakeholders
Ability to collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports dashboards and models
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