Data Engineer – Manager
EY
full-time
Posted on:
Location Type: Office
Location: Kochi • 🇮🇳 India
Visit company websiteSalary
💰 $80,000 - $120,000 per year
Job Level
SeniorLead
Tech Stack
AzureCloudETLNoSQLPySparkPythonScalaSparkSQL
About the role
- Develop & deploy Azure Databricks in a cloud environment using Azure Cloud services
- ETL design, development, and deployment to Cloud Service
- Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
- Design and optimize model codes for faster execution
- Lead and mentor a team of data engineers and analysts, ensuring high-quality delivery and fostering professional growth
- Collaborate with cross-functional teams to manage project timelines and deliverables
Requirements
- 9 to 14 years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
- Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmos DB, etc.
- Familiar with cloud services like Azure
- Hands-on experience on Spark/PySpark
- Hands-on experience in programming languages such as Python/Scala
- Knowledge in DevOps and CI/CD deployments
- Must have hands-on experience in SQL and procedural SQL languages
- Strong analytical skills and enjoys solving complex technical problems
- Proven ability to lead teams, manage resources, and drive projects to successful completion
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Azure DatabricksETL designdata ingestiondata processinganalytical pipelinesSparkPySparkPythonScalaSQL
Soft skills
leadershipmentoringcollaborationanalytical skillsproblem-solving