Smart Working
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
Senior Data Engineer – Snowflake, Azure
Job not on LinkedIn
October 31
Smart Working
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
📋 Description
• Lead the migration of data pipelines and schemas from SQL to Snowflake, ensuring reliability, scalability, and optimal performance. • Design and implement data warehouse architecture in Snowflake, including schema design, performance tuning, and SnowSQL scripting. • Build and maintain ETL/ELT pipelines using orchestration tools such as DBT, Astronomer, or Airflow. • Integrate and optimise data flow within Azure services, ensuring smooth operation across cloud environments. • Develop and maintain Python-based automation scripts for data transformation and workflow management. • Collaborate closely with analytics, product, and engineering teams to ensure data quality, accessibility, and consistency. • Support ongoing improvements in data governance, documentation, and monitoring standards.
🎯 Requirements
• 5+ years of experience in data engineering, with strong expertise in data warehousing and ETL/ELT development. • Proven hands-on experience with Snowflake, including schema design, SnowSQL, and performance optimisation. • Practical experience with Azure data services (e.g., Data Factory, Data Lake, Synapse). • Proficiency with data pipeline orchestration tools such as DBT, Astronomer, or Apache Airflow. • Strong Python skills for automation and data manipulation. • Advanced proficiency in SQL for data modelling and query optimisation. • Strong understanding of scalable and secure data architecture design.
🏖️ Benefits
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters:Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued
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