We are excited to announce an opening for an experienced
Databricks Developer
to help us implement a cutting-edge
Strategic Workforce Planning System
. This role focuses on building and optimizing large-scale data pipelines with
Azure Databricks
,
Azure Data Lake
,
Power BI
,
PowerApps
, and other Microsoft Azure services. You will collaborate closely with architects, analysts, and engineering teams to deliver scalable and secure data-driven solutions.
Scope of Work
- Conceptualize and develop robust, scalable data pipelines on the Azure Databricks platform.
- Create high-performance ETL processes to ingest, transform, and store large datasets.
- Implement data validation, cleansing, and quality controls to ensure data integrity.
- Optimize pipeline performance, storage, and cost-effectiveness for efficiency.
- Monitor and troubleshoot pipeline and data flow issues to maintain smooth operations.
- Document data workflows, transformation logic, and configurations comprehensively.
- Collaborate with business and technical teams to fully understand data requirements.
- Share technical knowledge and best practices with stakeholders and team members.
Required Skills & Experience
- Master’s degree or equivalent experience with 5+ years in Data Science or Data Engineering roles.
- Proven experience in building data pipelines on Azure Databricks.
- Exceptional coding skills in Python and SQL for data processing.
- Proficiency in Azure Data Lake Storage (ADLS) and Azure Blob Storage.
- Hands-on experience integrating with Power BI and PowerApps.
- Familiarity with CI/CD workflows using Azure DevOps.
- Exposure to machine learning tools within Databricks.
- Experience with Azure Synapse, Azure Functions, and Databricks REST API.
- A strong grasp of data governance, data quality, and security best practices.
- Ability to thrive in cross-functional, multicultural teams.
- Strong written and verbal communication skills, with the ability to clearly convey technical concepts.
Preferred Qualifications
- Certifications in Databricks, Azure Data Engineering, or Cloud Architecture.
- Knowledge of Azure Active Directory, Azure Monitor, and Azure Key Vault.
- Previous experience integrating with Power Platform or serverless Azure components.
- Proven ability to excel in fast-paced, high-impact environments with a focus on innovation.
Skills: azure blob storage,sql,azure databricks,data science,power apps,data security,microsoft power bi,data governance,azure,integration,machine learning,azure devops,azure functions,azure data lake storage (adls),azure synapse,powerapps,azure data lake,databricks rest api,data engineering,python,databricks,data quality,ci/cd,power bi