Senior Associate - Data Engineer (Snowflake + Deal Cloud)

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.

ï® Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field

ï® 5–7 years of experience in data engineering, with strong expertise in Snowflake and SQL.

ï® Experience integrating Snowflake with CRM platforms, preferably DealCloud.

ï® Proficiency in Python or other scripting languages for data manipulation and automation.

ï® Strong understanding of data warehousing concepts, cloud architecture, and API integrations.

ï® Experience with tools like dbt, Airflow, or similar orchestration frameworks.

ï® Excellent problem-solving and communication skills.

ï® Ability to manage multiple tasks and priorities effectively.

ï® Excellent communication skills to interact with stakeholders and provide clear updates.

ï® Must possess good verbal and written communication and interpersonal skills

ï® Design, develop, and maintain robust data pipelines between Snowflake and DealCloud.

ï® Implement ETL/ELT processes to ingest, transform, and load data from various sources into Snowflake.

ï® Collaborate with DealCloud developers to ensure seamless data flow and synchronization.

ï® Optimize Snowflake performance through efficient data modeling, partitioning, and query tuning.

ï® Ensure data quality, governance, and security across integrated platforms.

ï® Work closely with business stakeholders to understand data requirements and deliver actionable insights.

ï® Develop and maintain documentation for data architecture, workflows, and integration processes.

ï® Monitor and troubleshoot data pipeline issues and ensure high availability.

ï® Effectively communicate with business and technology partners, peers and stakeholders

ï® Ability to deliver results under demanding timelines to real-world business problems

ï® Ability to work independently and multi-task effectively

ï® Identify and communicate areas for improvement

ï® Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic

ï® Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)