Data Architect
Billigence
AirflowAWSAzureCloudETLMatillionPythonSQLTableauTerraform
Data Engineer II – ETL, BI Reporting
Rackspace Technology
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureCloudETLMySQLNumpyPandasPostgresPythonSQLTableauVault
About the role
- Build scalable data ingestion and ETL pipelines using Python
- Integrate data solutions with Snowflake and relational databases
- Orchestrate workflows and automate pipelines using Azure services (ADF, Blob Storage, Key Vault)
- Design efficient data models and schemas; balance normalization vs denormalization
- Implement data governance and security practices (RBAC, encryption, masking)
- Develop BI reports and dashboards using Power BI, MicroStrategy, or Tableau
- Translate business requirements into visualizations and analytical outputs
- Collaborate with Cloud Data Services team and stakeholders to deliver solutions
- Maintain and optimize ETL frameworks and pipeline performance
Requirements
- 4+ yrs experience
- Experience with any ELT tool and BI reporting
- Strong hands-on experience building data ingestion pipelines using Python
- Experience integrating with Snowflake
- Experience orchestrating workflows using Azure services (Azure Blob Storage, Azure Key Vault, ADF)
- Adept at writing efficient SQL; experience with Snowflake, SQL Server, PostgreSQL, MySQL
- Expertise in ETL development and ETL frameworks
- Proficiency with Python libraries for data manipulation (Pandas, NumPy)
- Data modeling skills (normalization vs. denormalization)
- Familiarity with Data Governance & Security (role-based access control, encryption, masking)
- Experience with automation and orchestration tools to manage data pipelines
- Proficiency in BI/reporting tools such as Power BI, MicroStrategy, or Tableau
- Power BI-specific skills: Power BI Desktop, Power BI Service, Power Query, Power Pivot, DAX, paginated reports
- Solid understanding of SQL for data manipulation & ETL tasks
- Experience with financial domain data
- Ability to translate business requirements into effective visualizations and dashboards
- Working hours: 4:00 pm to 1:00 am IST
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonETLSQLData modelingData governanceData securityData ingestionBI reportingAutomationOrchestration
Soft skills
CollaborationCommunicationAnalytical thinkingProblem-solving
