Salary
💰 $36,000 - $80,000 per year
Tech Stack
Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformHadoopJavaScriptPythonScalaSparkSQLTableau
About the role
- Support the Data Management Transformation Program by building a centralized Data Analytics Repository
- Collaborate with stakeholders to understand analytics needs and deliver comprehensive reports, dashboards, and models
- Design and implement ETL processes and data pipelines for structured and unstructured data
- Develop and maintain data models and warehouse structures using tools like Snowflake and Redshift
- Perform data extraction, transformation, and analysis using SQL and scripting languages
- Ensure data quality, governance, and security best practices are followed
- Create visualizations and dashboards using Tableau, Power BI, or Looker
- Work with cloud platforms (AWS, GCP, Azure) for data storage and processing
- Apply big data technologies (Hadoop, Spark) to support distributed computing needs
Requirements
- 2 - 5 years of experience in data analytics, data engineering, or software engineering
- Strong SQL skills and experience with data warehousing tools (Snowflake, Redshift)
- Proficiency in ETL development and data modeling
- Experience with cloud platforms (AWS, GCP, Azure)
- Programming ability in R, Python, JavaScript, Scala, or C++
- Familiarity with data governance, data quality, and security practices
- Experience with data visualization tools (Tableau, Power BI, Looker)
- Knowledge of big data frameworks (Hadoop, Spark)
- Competitive Salary – $45 per hour or $80 000 annually, based on experience.
- Comprehensive Benefits – Medical, dental, vision, and retirement savings plans.
- Career Development – Access to training, certifications, and leadership opportunities.
- Supportive Team Culture – Work with a team that values continuous learning and growth.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLETLdata modelingdata warehousingRPythonJavaScriptScalaC++big data
Soft skills
collaborationcommunicationstakeholder engagementdata governancedata qualitysecurity best practices