Senior Associate - Data Engineer (Snowflake + Deal Cloud)

5 - 7 years

9 - 10 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Purpose
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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Acuity Knowledge Partners logo
Acuity Knowledge Partners

Financial Services

London United Kingdom