Sr. Data Engineer

Overview

Design, build, and optimize data pipelines to ingest, process, transform, and load data fromvarious sources into our data platform Implement and maintain ETL workflows using tools like Debezium, Kafka, Airflow, andJenkins to ensure reliable and timely data processing Develop and optimize SQL and NoSQL database schemas, queries, and stored procedures forefficient data retrieval and processing Work with both relational databases (MySQL, PostgreSQL) and NoSQL databases(MongoDB,DocumentDB) to build scalable data solutions Design and implement data warehouse solutions that support analytical needs and machinelearning applications Collaborate with data scientists and ML engineers to prepare data for AI/ML models andimplement data-driven features Implement data quality checks, monitoring, and alerting to ensure data accuracy andreliability Optimize query performance across various database systems through indexing,partitioning,and query refactoring Develop and maintain documentation for data models, pipelines, and processes Collaborate with cross-functional teams to understand data requirements and deliversolutions that meet business needs Stay current with emerging technologies and best practices in data engineering

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,800,000.00 per year

Benefits:

• Flexible schedule

Work Location: In person