
Senior Data Engineer – Contractual
Posted 2 hours ago

Posted 2 hours ago
This is a fully remote position, open to applicants in United Kingdom.
• Oversee and enhance the performance of Snowflake data warehouses.
• Revamp warehouse efficiency using materialization strategies, dynamic tables, and clustering optimizations.
• Create scalable ETL/ELT pipelines utilizing dbt, Airflow, Fivetran, and AWS DMS.
• Develop ingestion pipelines with DMS and Fivetran.
• Establish modeling layers in dbt applying medallion architecture principles.
• Convert raw data into clean, dependable, and business-ready models using dbt and AI-assisted documentation and testing tools.
• Integrate data from various sources, such as CRM systems, payment platforms, gaming platforms, and additional operational systems.
• Lead initiatives aimed at improving data quality and monitoring, including anomaly detection and automated alerting.
• Oversee and enhance platform performance, cost-effectiveness, and security.
• Collaborate closely with cross-functional teams in product development, data, operations, and analytics.
• Work alongside the data science team and assist colleagues with reporting and analytics as needed.
• Aid the organization in transitioning to real-time data ingestion and ETL using technologies such as DMS, Kafka, and Kinesis.
• Help guide and mentor fellow engineers within the team.
• Contribute to the team's AI strategy and advocate for the effective use of AI tools in engineering workflows.
• Generate and maintain clear, thorough documentation to ensure scalability, transparency, and long-term platform sustainability.
• Communicate effectively with both technical and non-technical stakeholders, proactively addressing any obstacles encountered.
• Over 7 years of experience in Data Engineering.
• Strong hands-on expertise with AWS.
• Profound understanding of ELT design and data warehousing best practices.
• Expert-level knowledge in optimizing Snowflake.
• Proficient in dbt (macros, testing, modularization).
• Excellent skills in SQL and Python.
• Familiar with CI/CD processes and Git.
• Experience using AI coding assistants to enhance efficiency.
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
• No Weekend Work: Genuine work-life balance, not just a slogan.
• Support That Matters: Mentorship, community, and forums for idea sharing.
• True Belonging: A long-term career where your contributions are appreciated.
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