Senior Data Engineer -AWS

Experience:4 to 8 years

Location Bengaluru [Hybrid]

Notice period :Immediate joiner/ Max 1 Week preferred

Key skills required

AWS Data Engineering, Advanced SQL,AWS Redshift, AWS Glue , AWS Lambda ,AWS S3, AWS EC2, Star & Snowflake Schema, CI/CD & Code Pipeline ,ETL / ELT, Data Warehousing, PySpark & Big Data, Data Modelling ,Data Pipeline Architecture, GitHub ,Streaming / Message Queuing, PARQUET, OLAP, Relational &NoSQL

What You will Work On

• Design and maintain scalable ETL/ELT data pipelines
• Build and optimize cloud-based data warehouses using AWS
• Develop Fact Tables, Dimension Tables and multi-dimensional data models.
• Work extensively with AWS Redshift, Glue, Lambda and S3.
• Build data ingestion, scheduling, monitoring and automation processes.
• Optimize large-scale data pipelines and SQL performance.
• Collaborate with stakeholders, data scientists and analytics teams.
• Perform root-cause analysis and maintain high standards of data quality.
• Work with GitHub for version control, code collaboration and CI/CD.
• Ensure data privacy, security and regulatory compliance.

What We Are Looking For

• 4+ years of overall hands-on Data Engineering experience.
• 2+ years of recent experience working with AWS data platforms.
• Strong hands-on experience with AWS Redshift and advanced SQL.
• Strong experience in ETL/ELT and data warehouse development.
• Excellent understanding of data modelling and scalable data architecture.
• Experience with PySpark and large datasets.
• Bachelor’s/Master’s degree in Technology, Computer Science or a related field.
• Candidates with Healthcare / Pharma / Life Sciences experience will be preferred.

Important: Your resume should clearly mention your hands-on experience with AWS data platforms, ETL pipelines, projects, tools and your individual contribution.

Pay: Up to ₹1,800,000.00 per year

Application Question(s):

• 1. AWS Data Engineering

Which AWS services have you worked with hands-on for data engineering projects?
Select all that apply.
AWS Redshift
AWS Glue
AWS S3
AWS Lambda
AWS EC2
AWS CodePipeline

• 2. ETL/ELT & Data Pipelines

Do you have hands-on experience designing and developing scalable ETL/ELT data pipelines, including data ingestion, scheduling, monitoring, automation, and pipeline optimization?

• 3. SQL & Data Warehousing

Do you have strong hands-on experience with Advanced SQL, SQL performance optimization, AWS Redshift, data warehousing, and large-scale data processing?

• 4. Data Modelling & Big Data

Which of the following have you worked with hands-on?
Select all that apply.
PySpark / Big Data
Fact & Dimension Tables
Star Schema
Snowflake Schema
OLAP / Dimensional Modelling
Parquet
Relational Databases
NoSQL

• 5. Engineering, Quality & Collaboration

Which of the following have you worked with hands-on in data engineering projects?
Select all that apply.
GitHub / Version Control
CI/CD / CodePipeline
Data Quality & Root-Cause Analysis
Streaming / Message Queuing
Data Privacy / Security / Compliance
Working with Data Scientists / Analytics Teams

Work Location: Hybrid remote in Bengaluru, Karnataka 560000