Data Engineer
4 weeks ago
Requisition/Position Title
Senior Azure Data Engineer
Employment (Regular/Consultant)
Regular
Position Type (New/Replacement)
New
Experience Level (Min-Max)
>6 Years
Mandatory Skillset (Maximum 5)
Azure Data Factory, Spark, SQL, Python, Databricks, Snowflake
Detailed Job Description
Job Responsibilities:
· Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
- Proficient in programming languages like Spark (with either Python or Scala), SQL
- Experience with Databases like Sql Server, Teradata, Snowflake, Synapse.
· Good understanding of data engineering principles, data modelling, data warehousing, and ETL/ELT processes which includes data testing, validation and reconciliation processes.
· Hands-on experience with data integration and data transformation frameworks, tools, and methodologies.
· Experience with version control systems like Git, GitHub etc
· Collaborate with cross-functional teams and business teams to understand business requirements and translate them into technical designs and solutions.
· Build and maintain data pipelines, data integrations, and data transformations to enable efficient data processing, storage, and retrieval.
· Optimize data infrastructure and solutions for performance, scalability, and cost-efficiency, ensuring high availability and reliability.
· Conduct data profiling, data validation, and data cleansing activities to ensure data integrity and accuracy.
- Mentor and provide technical guidance to junior data engineers, freshers/interns, fostering knowledge sharing and skills development within the team.
Good to have:
· Experience with version control systems, CI/CD pipelines, and automated testing frameworks.
· Knowledge in streaming technologies, pipelines and frameworks like Kafka, EventHub, Azure Stream Analytics.
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