Senior Associate - Data Engineer

Job Purpose

Desired Skills And Experience

• Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
• 6-8 years of professional experience in data engineering or related roles.
• Strong proficiency in SQL for data manipulation, optimization, and query performance tuning.
• Hands-on experience with Snowflake, including schema design, data loading, and performance optimization
• Experience working with DealCloud or similar CRM/data platforms.
• Proficiency in Python for data processing, automation, and API integration
• Familiarity with ETL/ELT tools such as Apache Airflow, dbt, Talend, or Informatica.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, Azure Data Factory, BigQuery).
• Knowledge of data warehousing and data lake architecture.
• Strong understanding of data modeling, data governance, and data security practices.
• Experience with Power BI or similar visualization tools for dashboard development and reporting.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving, analytical thinking, and communication skills.
• Familiarity with Snowflake and cloud-based data warehousing.
• Strong understanding of data modeling and analytics.
• Experience working with enterprise platforms like Deal Cloud is a plus.
• Ability to work independently.
  

Key Responsibilities

• Analyze large and complex datasets from DealCloud and other enterprise sources.
• Identify trends, patterns, and anomalies to support strategic decision-making.
• Design, build, and maintain robust ETL/ELT pipelines for Snowflake and other data platforms.
• Collaborate with Power BI specialists to ensure seamless data visualization and reporting.
• Develop and optimize data models and storage solutions using Snowflake.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Automate data workflows and support real-time data processing where applicable.
• Work closely with cross-functional teams including business analysts, product managers, and data scientists.
  

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)