Senior Azure Data Engineer
Gratitude IncSenior Azure Data Engineer
Job Description
Key Skills
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Non-negotiables:
• 5+ years Azure Data Engineer with at least 1 year of experience in both Databricks and PySpark
• Strong experience in Azure Functions, Azure Data Factory, Azure SQL, Azure Key Vault
• Strong Experience in Azure Databricks, Azure Databricks Notebooks, Azure Data Lake, Azure Data Lake Storage
• Working experience in migration and modernization projects
• Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL
• Should be amenable to work onsite on a hybrid setup in Taguig
• Amenable to mid to night shift schedule
Position Description:
- We are currently looking for an Azure senior developer with Databricks and Pyspark skills, having at least 3 or more years of experience and who is willing to work late shift to night shift work schedule.
- We are looking for a Senior Azure Data Engineer to join the Digitalization & Automation Services Team.
- You will work alongside our Dev Team and will report to the following: Technical Lead, Service Delivery Manager.
- Your main tasks will include performing application development with exposure on Azure Databricks and PySpark.
- To succeed in this role, you should be able to fit into the technical requirement need and pass the overall technical assessment.
Your future duties and responsibilities:
- Design and implement storage solutions using Azure services such as Azure SQL and Azure Data Lake Storage.
- Design and implement ETL using ADF data pipelines to move and transform data from various sources into cloud-based data warehouses.
- Implement a business solution using Azure Databricks.
- Align with the DevOps strategy to promote code into Production.
- Participate in solutioning and delivery optimization (identifying/creating reusable Databricks components).
- Participate in and define steps to transform requirements into an implementation plan.
Required qualifications to be successful in this role:
- Must have 3-5 years of relevant experience
- Strong experience in Azure Functions, Azure Data Factory, Azure SQL, and Azure Key Vault.
- Strong Experience in Azure Databricks, Azure Databricks Notebooks, Azure Data Lake, Azure Data Lake Storage.
- Working experience in migration and modernization projects.
- Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL.
- Proficient in integrating, transforming, and consolidating data from various structured and unstructured data.
- Knowledge of Autosys jobs, Batch scripts.
- Experience with Agile methodology, Azure DevOps(CI/CD Pipeline).
- Knowledge of streaming platforms (Kafka, Solace queue), Azure App Services, Azure Stream Analytics, Power BI.
- Strong communication skills.
- Ability to work independently and effectively within a team.
- Must be amenable to working onsite 2-3 days a week in McKinley, Taguig, on a late mid-shift to a night-shift schedule
Role
Engineering - Software
Timings
Day Shift (Contract To Hire)
Industry
IT-Software / Software Services
Work Mode
Hybrid
Functional Area
IT Software/Hardware
Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.
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