Job Description

Role: Lead Data Engineer (Azure, Snowflake, DB)

Location: Remote

Duration: Long Term W2 Consultants preferred.

Skill Focus Azure , Snowflake, DB

Key Responsibilities:

• Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT.
• Build and maintain data integration workflows from various data sources to Snowflake.
• Write efficient and optimized SQL queries for data extraction and transformation.
• Work with stakeholders to understand business requirements and translate them into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Provide technical leadership and mentorship to junior data engineers.
• Maintain and enforce data quality, governance, and documentation standards.
• Collaborate with data analysts, architects, and DevOps teams in a cloud-native environment.

Must-Have Skills: Strong experience with Azure Cloud Platform services. Proven expertise in Azure Data Factory (ADF) for orchestrating and automating data pipelines. Proficiency in SQL for data analysis and transformation. Hands-on experience with Snowflake and SnowSQL for data warehousing. Practical knowledge of DBT (Data Build Tool) for transforming data in the warehouse. Experience working in cloud-based data environments with large-scale datasets.

Good-to-Have Skills: Experience with DataStage, Netezza, Azure Data Lake, Azure Synapse, or Azure Functions. Familiarity with Python or PySpark for custom data transformations. Understanding of CI/CD pipelines and DevOps for data workflows. Exposure to data governance, metadata management, or data catalog tools. Knowledge of business intelligence tools (e.g., Power BI, Tableau) is a plus.

Qualifications: Bachelor s degree in Data Engineering or a related field. 8+ years of experience in data engineering roles using Azure and Snowflake. Strong problem-solving, communication, and collaboration skills

For applications and inquiries, contact:hirings@openkyber.com

Job Tags

Remote work

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