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.
Desired Skills and experience
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
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.
Behavioral Competencies
Effectively communicate with business and technology partners, peers and stakeholders
Ability to deliver results under demanding timelines to real-world business problems
Ability to work independently and multi-task effectively
Identify and communicate areas for improvement
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
Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)
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