Snowflake Data Engineer
qode.world
AWSAzureCloudETLPythonShell ScriptingSQLTableau
Data Manager
Merative
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AWSAzureCloudETLPandasPythonSeleniumSQLTableau
About the role
- Update databases, evaluate and process client data feeds, and generate production deliverables.
- Provide technical support to clients and internal teams.
- Work collaboratively with team leads and other Data Managers to adhere to best practices and timelines.
- Process and update databases in alignment with client requirements.
- Investigate and resolve data quality issues, adhering to department processes.
- Design, maintain, execute, and document system tests and requirement validation tests.
- Design and implement scalable and efficient data models to support the organization's data needs.
- Support user acceptance testing as needed.
- Assist clients in understanding data specifications and resolving data quality issues.
- Establish and enforce data quality standards, best practices, and data governance policies and procedures.
Requirements
- Bachelor’s degree in software engineering, Computer Science or any degree with Computer Science is required.
- 2-4 years of relevant experience in data management, ETL, and database development.
- Strong proficiency in SQL and database management systems.
- Experience with ETL tools and data integration processes.
- Familiarity with cloud platforms such as AWS, Azure.
- Proficiency in programming languages such as Python.
- Knowledge of data modelling, warehousing, and architecture best practices.
- Excellent problem-solving and communication skills.
- Preferred: Familiarity with Selenium, Pandas, VB Macro.
- Preferred: Knowledge of US healthcare.
- Preferred: Familiarity with data visualization tools (e.g., Tableau, Power BI, Kyvos).
Benefits
- Opportunities to apply your skills — and develop new ones
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLETLdatabase managementPythondata modelingdata warehousingdata architecturedata integrationdata qualitysystem testing
Soft skills
problem-solvingcommunicationcollaborationtechnical support
