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Data Engineering Lead
Ernst & Young
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and implement scalable data lake architectures using Azure Data Lake services.
- Develop and maintain data pipelines to ingest data from various sources.
- Optimize data storage and retrieval processes for efficiency and performance.
- Ensure data security and compliance with industry standards.
- Collaborate with data scientists and analysts to facilitate data accessibility.
- Monitor and troubleshoot data pipeline issues to ensure reliability.
- Document data lake designs, processes, and best practices.
- Experience with SQL and NoSQL databases, as well as familiarity with big data file formats like Parquet and Avro.
- Azure Data Lake
- Azure Synapse Analytics
- Azure Data Factory
- Azure DataBricks
- Python (PySpark, Numpy etc)
- SQL
- ETL
- Data warehousing
- Azure Devops
- Experience in developing streaming pipeline using Azure Event Hub, Azure Stream analytics, Spark streaming
- Experience in integration with business intelligence tools such as Power BI
- Big Data technologies (e.g., Hadoop, Spark)
- Data security
- Experience with Agile and DevOps methodologies and the software development lifecycle.
- Proactive and responsible for deliverables
- Escalates dependencies and risks
- Works with most DevOps tools, with limited supervision
- Completion of assigned tasks on time and regular status reporting
- Should be able to train new team members
- Desired to have knowledge on any of the cloud solutions such as Azure or AWS with DevOps/Cloud certifications.
- Should be able to work with a multi culture global teams and team virtually
- Should be able to build strong relationship with project stakeholders
Employment Type: Full Time, Permanent
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