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.
- Solid 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

- 1. 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?
- 1. 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?
- 1. 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

- 1. 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

📌 Senior Data Engineer -AWS (Bengaluru)
🏢 RecruitFutures
📍 Bengaluru