Azure Data Engineering Lead @ Net Connect

Job Description

Experience: 6 9 Years

Notice Period: Immediate to 15 Days

The Azure Data Engineering Lead will play a critical role in shaping data-driven strategies and solutions within our organization. Working alongside a talented team, you will be responsible for designing and implementing robust data solutions on the Databricks platform using Spark. This role requires a strong technical background along with a deep understanding of business needs to ensure data solutions align with organizational objectives.

As part of a collaborative team culture, you will lead projects that drive innovation and efficiency. Your contributions will directly impact our data architecture and analytics capabilities, enabling informed decision-making through data insights.

• Develop and maintain data pipelines for seamless data flow across systems.
• Create and implement business logic using Spark within the Databricks environment.
• Write and optimize complex SQL queries to enable meaningful data analysis.
• Design and implement ETL workflows using Azure Data Factory (ADF).
• Collaborate with cross-functional teams to identify data needs and requirements.
• Ensure data integrity and optimal data storage solutions using Delta Lake.
• Translate business needs into technical specifications and solutions.
• Contribute to architectural design and best practices for data management.
• Stay updated with industry trends and emerging tools to enhance data engineering capabilities.
• Provide support and mentorship to junior data engineers when necessary.

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 6-9 years of experience in data engineering, with a strong background in ETL process development.
• Proficient in PySpark and Python programming languages.
• Strong experience in writing advanced SQL queries for data retrieval and analysis.
• Hands-on experience with Azure components, including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Active Directory (AAD), and Azure Key Vault.
• Strong understanding of Delta tables and data lake architectures.
• Experience in data architecture and ETL design.
• Ability to transform complex business requirements into effective technical solutions.
• Experience in the automotive domain is a plus.
• Knowledge of Data Mesh concepts is advantageous.

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Keyskills:   Azure Data Engineering Azure Data Factory Azure Active Directory PySpark Azure Key Vault ETL design ETL Azure Data Lake Storage Python