| Urgent need - Lead Azure Data Engineer - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Ben, Spar Info Sys [email protected] Reply to: [email protected] Position Title: Lead Azure Data Engineer Location: Remote Duration:6-12+ months Open to C2C Need 12+ years of experience holder Note : minimum 8 + years of experience in USA geography only 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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| Thu Feb 01 00:30:00 UTC 2024 |