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Tier-1 brand, generic Data Engineer role, mid-level experience requirement, and Bengaluru location increase competition.
Core data engineering skills are transferable, though Snowflake and financial domain exposure moderately increases domain bias.
Multiple mandatory technologies (Snowflake, Talend, Informatica, SQL, Python) and domain expertise raise screening rigor.
Design, develop, and manage scalable data warehouse solutions and pipelines in Snowflake environment, including migration from relational stores.
Implement data models, optimize data workflows and processes for accuracy, accessibility, and performance in cloud data environment.
Collaborate across teams to integrate data governance, ML models, and develop ETL pipelines using Talend/Informatica, SQL, Python, and Snowflake APIs.
At least 4 years of relevant data engineering experience.
Hands-on experience with Snowflake data warehouse, including REST API and data modeling.
Proficiency in Talend and Informatica ETL tools, SQL query development, and Python scripting for automation.
Work Experience Required: Minimum 4 years relevant experience.
Experienced in designing and optimizing high-scale cloud data pipelines and warehouse solutions using Snowflake.
Skilled in cross-functional collaboration involving IT, business teams, and data science for integrating machine learning models.
Strong background in relational databases and cloud data stores with focus on data governance and process optimization.