Posted:4 days ago|
Platform:
On-site
Full Time
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:
Work Location: In person
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