We are looking for aData Modellerwith at least3 years of professional experiencein designing scalable data models and writingcomplex SQL queries in Postgres and MongoDB. The ideal candidate must also havehands -on expertise in Python and data -related librariesalong with strong working knowledge ofAWS data servicesand strong AWS fundamentals likeVPC, subnets, routing, peering and configuring inbound/outbound rules.
Key Responsibilities
Design, develop, and maintain conceptual, logical, and physical data models across relational (Postgres) and NoSQL (MongoDB) systems.
Write and optimize complex SQL queries, stored procedures, and views in Postgres; build advanced queries and aggregation pipelines in MongoDB.
Develop and automate ETL/ELT data pipelines using Python and libraries such as pandas, NumPy, SQLAlchemy, PyMongo, boto3.
Manage and optimize AWS Data related services. Experience in other cloud providers like Azure, GCP is good to have.
Configure network routing, inbound/outbound rules, and security groups for secure data access.
Monitor performance, troubleshoot issues, and ensure scalability, data quality, and security.
Collaborate with data engineers, analysts, and business teams to translate requirements into effective data solutions.
Requirements
Minimum 3 years of experience in data modelling, database development, and SQL programming
Expertise in Postgres (complex queries, indexing, optimization) and MongoDB (schema design, aggregation).
Strong hands -on experience with Python and related libraries (pandas, NumPy, SQLAlchemy, PyMongo, boto3). Shell scripting must have.
Proficiency in AWS cloud services: RDS, S3, CloudWatch, VPC, IAM, ASM, EC2, Event bridge and any other data -based services.
Ability to use AI tools like Kiro and deliver tasks at speed
Experience with Routing, Peering, Inbound/Outbound rules, and security group configuration.
Strong problem -solving, analytical, and communication skills.
Knowledge of data governance and compliance frameworks.
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