We are looking for an experienced Data Engineer / AWS Engineer with 8–12 years of experience in designing, developing, and optimizing scalable data solutions on AWS. The ideal candidate should have strong expertise in Advanced SQL, Data Modelling, Python, Snowflake, Spark/PySpark, and AWS data services.

Key Responsibilities
Design, develop, and maintain scalable data pipelines and data engineering solutions on AWS.
Develop complex SQL queries and implement effective data modelling techniques.
Build and optimize data processing solutions using Python and Spark/PySpark.
Work extensively with Snowflake for data warehousing, data integration, and analytics.
Develop and manage data pipelines using AWS Glue and other AWS services.
Work with Amazon S3, Amazon Redshift, and Amazon EMR for data storage, processing, and analytics.
Perform data transformation, cleansing, validation, and optimization across large datasets.
Troubleshoot data pipeline and performance issues and ensure high-quality data delivery.
Collaborate with data architects,



analysts, application teams, and other stakeholders to deliver robust data solutions.
Follow best practices for data security, scalability, performance, and reliability.

Mandatory Skills
8+ years of experience in Data Engineering / AWS Data Engineering
Advanced SQL
Data Modelling concepts
Python
Snowflake
Spark / PySpark
Robust experience with AWS Glue
Hands-on experience with Amazon S3
Experience with Amazon Redshift
Experience with Amazon EMR

Positive to Have
Experience in building large-scale ETL/ELT pipelines.
Knowledge of AWS data architecture and cloud-native data solutions.
Experience with performance tuning and optimization of Spark, SQL, and Snowflake workloads.
Strong analytical and problem-solving skills.
Valuable communication and stakeholder management skills.

Skills: snowflake,sql,spark,data engineering

📌 Data Engineer / Aws Engineer Bengaluru
🏢 Zorba AI
📍 Bengaluru