Data Engineer, SQL, Databricks

🕒 March 11

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Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

☁️ SaaS

🎯 Recruiter

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

• - Design, build, and maintain data pipelines connecting internal systems to the organisation’s Delta Lake environment • - Develop and optimise SQL-based data transformations and relational data models to support analytics and reporting • - Integrate new data sources and systems into the data platform as the organisation expands its technology landscape • - Work with engineering teams to ensure reliable, scalable, and well-structured data flows across systems • - Support the development of data architecture and data models that enable new business metrics and analytical capabilities • - Monitor, troubleshoot, and improve existing pipelines to ensure data accuracy, performance, and reliability • - Contribute to documentation, data standards, and best practices across the engineering team • - Collaborate with stakeholders to ensure data pipelines support evolving business requirements

🎯 Requirements

• - Strong experience working with SQL for querying, transformation, and data modelling • - Hands-on experience with Databricks for building and managing data pipelines and analytics workflows • - Experience working with large-scale data platforms or data lake architectures • - Familiarity with Apache Spark for distributed data processing • - Experience designing and maintaining data pipelines and ETL/ELT processes • - Ability to work collaboratively within cross-functional engineering teams • - Strong attention to detail when building reliable and maintainable data infrastructure

🏖️ 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