Position: Senior Azure Data Engineer

Location: REMOTE

Duration: Long Term

Type: Contract

Position Summary:

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.