Roles & Responsibilities
Create and maintain optimal data pipeline architecture for ETL/ELT into structured data
Assemble large, complex data sets that meet business requirements and create multi-dimensional modelling like Star Schema and Snowflake Schema
Expert level experience in creating scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud-based tools
Identify, design, and implement internal process improvements including automating manual processes and optimising data delivery
Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting
Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services including Lambda, Code Pipeline, Glue, S3, and Redshift
Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition and operational efficiency
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Utilize GitHub for version control,



code collaboration, and repository management
Create data tools for analytics and data scientist team members
Ensure data privacy and compliance with relevant regulations when handling customer data
Maintain data quality and consistency within the application

Pay: ₹508,966.41 - ₹1,870,159.69 per year

Application Question(s)
How many recent years of Data engineering experience do you have specifically on AWS?
Do you have Pharma / Life Sciences / healthcare data experience? (preferred)
Are you ready to attend an in-office interview on 19th Sep in Bangalore, if required?
Reason for change?
What is your current CTC in LPA?
What is your expected CTC in LPA? (18)
What is your notice period in days? (15)
Are you serving your Notice period? If yes, when is the last working day? (max acceptable is till 18th September)

Experience
overall: 4 years (Required)

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Senior Data Engineer Aws Bengaluru
🏢 OptimHire
📍 Bengaluru