Senior Data Scientist

Overview

Position – Data Engineer
Exp – 6-8 Years
Location - Hyderabad, INDIA
Budget – open Budget based on interview

Not Many Job Switches
Can be from a Reputed College like ( IIM or IIT)
Should & Must have SaaS product experience
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
 Proficiency in at least one programming language (Python, Node.js, Java)
 Experience with version control systems (Git) and CI/CD pipelines
 Bachelor's degree in Computer Science, Engineering, or related field
Preferred Qualifications:
 Experience with graph databases (Neo4j, Amazon Neptune)
 Knowledge of big data technologies such as Hadoop, Spark, Hive, and data lake architectures
 Experience working with streaming data technologies and real-time data processing
 Familiarity with data governance and data security best practices
 Experience with containerization technologies (Docker, Kubernetes)
 Understanding of financial back-office operations and FinTech domain
 Experience working in a high-growth startup environment

Job Type: Permanent

Pay: ₹862,603.66 - ₹2,376,731.02 per year

Benefits:

• Health insurance
• Provident Fund

Supplemental Pay:

• Performance bonus
• Yearly bonus

Experience:

• ETL: 7 years (Preferred)
• HADOOP : 1 year (Preferred)

Work Location: In person

Application Deadline: 27/07/2025
Expected Start Date: 25/07/2025