Data Engineer

Kaseyais the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI
Kaseyas best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners insightpartners ), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve, Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide To learn more about our company and our award-winning solutions, go to Kaseya and for more information on Kaseyas culture, Kaseya is not your typical company We are not afraid to tell you exactly who we are and our expectations The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, Role: Sr Data Engineer Location: Bangalore Onsite Duration: Full-Time Timings: 1-10 PM IST (Cab; Food & other facilities provided) Experience: 6-8 yrs Skills to crack: Snowflake, SQL, Python, ETL, Matillion / Informatica Desired Skills: PowerBI, CRM (Salesforce), ERP (Oracle) About the Role: We are seeking an experienced and proactive Senior Data Engineer to drive the design, development, and optimization of our enterprise data infrastructure, with a core focus on Snowflake, You will lead complex data integration projects from CRM (preferably Salesforce), ERP systems (such as Oracle), and other enterprise sources, This role will play a critical part in shaping our data platform, ensuring scalability, performance, and compliance to support advanced analytics and AI initiatives, Required Qualifications: Bachelors or Masters degree in computer science, Engineering, Information Systems, or a related technical field, 6+ years of hands-on experience as a Data Engineer, with a proven track record of delivering production-grade data solutions, Expertise in Snowflake: performance tuning, data modelling, security features, and best practices, Deep experience integrating complex systems like CRM (Salesforce) and ERP platforms (NetSuite, etc), Advanced proficiency in SQL, including optimization, CTEs, window functions, and complex joins, Strong experience with Python for building and orchestrating data pipelines, Expertise with data pipeline tools or custom-built ETL frameworks, Solid experience in cloud ecosystems (AWS, Azure, GCP) ? including storage, compute, and serverless services, Strong understanding of data governance, metadata management, and data cataloguing solutions, Certifications in Snowflake, Salesforce Data Architecture, or Cloud Architect certifications (AWS, Azure, GCP), Experience working with real-time data ingestion tools (Kafka, Kinesis, Pub/Sub), Knowledge of Data Lakehouse architecture and experience with Delta Lake, Apache Iceberg, or similar technologies, Familiarity with ML Ops or supporting Data Science initiatives is a plus, Responsibilities: Architect, develop, and optimize highly scalable, reliable, and secure data pipelines and workflows on Snowflake, Lead and oversee the integration of data from CRM (Salesforce), ERP platforms, and other third-party systems into the enterprise data warehouse, Define best practices for data modelling, data quality, security, and operational efficiency, Collaborate with cross-functional teams (Product, Engineering, BI, Data Science) to understand business needs and deliver comprehensive data solutions, Mentor and guide junior and mid-level data engineers through code reviews, technical guidance, and architectural discussions, Evaluate and recommend modern data tools, frameworks, and patterns ( e-g, ELT, Data Mesh, Data Vault modelling), Implement and manage orchestration tools and CI/CD pipelines for data engineering projects, Own monitoring, logging, and alerting strategies for data pipelines, ensuring high uptime and performance, Ensure compliance with data governance, privacy, and security standards (GDPR, HIPAA, SOX), Contribute to technical documentation, runbooks, and knowledge-sharing initiatives within the team, Soft Skills: Strong leadership capabilities with a hands-on attitude, Excellent problem-solving and decision-making abilities, Strong written and verbal communication skills ? able to explain technical concepts to business stakeholders, Ability to balance speed and quality, pushing for sustainable engineering excellence, A mindset of continuous learning and innovation, Join the Kaseya growth rocket ship and see how we are #ChangingLives ! Additional Information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law, Show