Data Engineer (with Snowflake)

Job Details

Experience: 6-8 Years

Work Mode: Remote

Shift timing: 1 PM or 2 PM (UK Shift)

Responsibilities

• Lead and participate in the development of high-quality software solutions for client projects, using modern programming languages and frameworks.
• Contribute to system architecture and technical design decisions, ensuring that solutions are scalable, secure, and meet client requirements.
• Work closely with clients to understand their technical needs and business objectives, offering expert advice on software solutions and best practices.
• Provide guidance and mentorship to junior developers, assisting with code reviews, troubleshooting, and fostering a culture of technical excellence.
• Work with project managers, business analysts, and other engineers to ensure that technical milestones are achieved, and client expectations are met.
• Ensure the quality of software through testing, code optimization, and identifying potential issues before deployment.
• Stay up to date with industry trends, new technologies, and best practices to continuously improve development processes and software quality.
• Other duties as assigned and directed.

Required Technical Skills

• Snowflake
• Azure Data Factory
• Azure Databricks
• Azure Synapse
• Snowflake Snowpipe, Streams, Tasks, stored procedures, and secure views
• Snowpark or related Snowflake development patterns
• Data ETL/ELT processes, including Snowflake-based ingestion, transformation, orchestration, and data validation patterns
• Advanced SQL, including complex joins, window functions, performance tuning, and financial reconciliation logic
• Python

Required Skills

• Excellent verbal and written communication skills... will be expected to interact with client (gather requirements, troubleshoot issues, etc.)
• Able to work independently
• Proactive approach... must be able to continue to drive the project to completion with only general direction

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