Job Description
We are seeking a highly skilled Data Engineer to lead data integration and engineering efforts across Snowflake and DealCloud platforms. The ideal candidate will have hands-on experience in building scalable data pipelines, integrating cloud data warehouses with CRM platforms, and enabling data- driven decision-making across the organization.
Key Responsibilities
◼ Design, develop, and maintain robust data pipelines between Snowflake and DealCloud.
◼ Implement ETL/ELT processes to ingest, transform, and load data from various sources into Snowflake.
◼ Collaborate with DealCloud developers to ensure seamless data flow and synchronization.
◼ Optimize Snowflake performance through efficient data modeling, partitioning, and query tuning.
◼ Ensure data quality, governance, and security across integrated platforms.
◼ Work closely with business stakeholders to understand data requirements and deliver actionable insights.
◼ Develop and maintain documentation for data architecture, workflows, and integration processes.
◼ Monitor and troubleshoot data pipeline issues and ensure high availability.
Desired Experience & Qualification
◼ Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
◼ 5–7 years of experience in data engineering, with strong expertise in Snowflake and SQL.
◼ Experience integrating Snowflake with CRM platforms, preferably DealCloud.
◼ Proficiency in Python or other scripting languages for data manipulation and automation.
◼ Strong understanding of data warehousing concepts, cloud architecture, and API integrations.
◼ Experience with tools like dbt, Airflow, or similar orchestration frameworks.
◼ Excellent problem-solving and communication skills.
◼ Ability to manage multiple tasks and priorities effectively.
◼ Excellent communication skills to interact with stakeholders and provide clear updates.
◼ Must possess good verbal and written communication and interpersonal skills