Data Modeller

1 day ago

Bengaluru, Karnataka, India Facctum Full time ₹ 10,00,000 - ₹ 15,00,000 per year

Summary
We are looking for a
Data Modeller
with at least
3 years of professional experience
in designing scalable data models and writing
complex SQL queries in Postgres and MongoDB
. The ideal candidate must also have
hands-on expertise in Python and data-related libraries
along with strong working knowledge of
AWS data services
and strong AWS fundamentals like
VPC, 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
Required Skills & Experience

  • 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.
  • 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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