Associate - Platform Data Engineer

This is an opportunity to be a part of BCN Data business expanding product data analytics area.

The person in this role will need to:

• Data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
• Analytical, interpretive, and problem-solving skills including the proven ability to analyze large amounts of data and synthesize key findings and recommendations
• Work closely with other data scientists, data engineers, machine learning engineers and UI/UX to build and manage end-to-end data product platform
• Proven experience in building algorithms/scenarios to maintain the product data quality & governance
• Analytical Abilities: Strong problem-solving skills and a keen eye for detail in analyzing complex datasets.
• Validate and apply data quality checks while collecting data from different sources
• Builds reusable capabilities that can be used by team members or across service lines
• Gather requirements and business process knowledge to clean & transform the data in a way that s geared towards the needs of end users

About you

• A Bachelor s or Master s degree in Computer Science or related field
• Minimum 3+ years of experience in product data analytics with having proficiency with Python and Advanced SQL queries, Stored procedures, query performance tuning, index maintenance, etc
• Experience in Cloud based data platforms such as AWS/Azure, Environment creation and management is a plus
• Experience over Snowflake is a plus
• Experience of data modeling, data warehousing principles is a plus
• Having experience in manage ETL/ELT processes to ingest and transform large datasets using cloud-native services (e.g., AWS S3, Lambda, Sage maker, EC2 and Airflow
• Product data Analysis: Monitor and analyze KPIs to identify quality defects, uncover insights, and propose data-driven recommendations
• A/B Testing & Experimentation: Design, execute, and evaluate experiments to inform product data improvements and validate hypotheses
• Familiarity with CI/CD pipelines and DevOps practices for data projects is a plus
• Should be a motivated and collaborative team player, who is a role-model and at-cause individual within the team and office
• Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical senior stakeholders
• Ability to prioritize projects, manage multiple competing priorities and drive projects to completion under tight deadline