| Hiring for Lead Azure Data Engineer (12+ years ONLY) at Remote, Remote, USA |
| Email: [email protected] |
| From: Abhishek Kumar, SPAR INFORMATION SYSTEMS [email protected] Reply to: [email protected] Hi, Please find the job description below and let me know your interest. Title: Lead Azure Data Engineer Duration: Contract Work Location: Remote Mandatory Skillset: Azure Data Factory, Spark, SQL, Python, Databricks, Snowflake 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. Keywords: continuous integration continuous deployment |
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| Tue Feb 06 23:05:00 UTC 2024 |