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Job Type

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Job Description

Hello Everyone

We are #hiring

Position – Data Engineer

Exp – 6-8 Years

Location - Hyderabad, INDIA

🧠 Mongo DB – Mandatory Good understanding of Database systems -- SQL and No SQL Must have comprehensive experience in MongoDB or any other document DB

🔷 Responsibilities:

▪️ Design, build, and optimize data pipelines to ingest, process, transform, and load data from various sources into our data platform

▪️ Implement and maintain ETL workflows using tools like Debezium, Kafka, Airflow, and Jenkins to ensure reliable and timely data processing

▪️ Develop and optimize SQL and NoSQL database schemas, queries, and stored procedures for efficient 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 machine learning applications

▪️ Collaborate with data scientists and ML engineers to prepare data for AI/ML models and implement data-driven features

▪️ Implement data quality checks, monitoring, and alerting to ensure data accuracy and reliability

▪️ 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 deliver solutions that meet business needs

▪️ Stay current with emerging technologies and best practices in data engineering

🔷 Requirements:

▫️ 6+ years of experience in data engineering or related roles with a proven track record of building data pipelines and infrastructure

▫️ Strong proficiency in SQL and experience with relational databases like MySQL and PostgreSQL

▫️ Hands-on experience with NoSQL databases such as MongoDB or AWS DocumentDB

▫️ Expertise in designing, implementing, and optimizing ETL processes using tools like Kafka,Debezium, Airflow, or similar technologies

▫️ Experience with data warehousing concepts and technologies

▫️ Solid understanding of data modeling principles and best practices for both operational and analytical systems

▫️ Proven ability to optimize database performance, including query optimization, indexing strategies, and database tuning

▫️ Experience with AWS data services such as RDS, Redshift, S3, Glue, Kinesis, and ELK stack


📬 How to Apply:

📩 Email your updated resume to:

sandhyarani.p@nybinfotech.com

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