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Senior Data Engineer (AWS, Big Data, ETL, Netezza, Spark, Kafka, Data Warehousing)
Job Location:
Monthly Salary:
Experience Required:
Posted:
1 August 2026 (20 days ago)
Posted:
Application Deadline:
29 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Senior Data Engineer AWS Cloud Big Data ETL Netezza Spark Kafka Data Platform Modernization
Job Summary
The ideal candidate will have strong expertise in designing developing and supporting scalable data pipelines and distributed systems along with hands-on experience in Big Data ecosystem tools AWS services and real-time data processing.
This role involves working on data platform modernization cloud migrations Data Warehousing and ETL in a fast-paced enterprise environment.
Required Technical Skills
Cloud Technologies
Strong experience in AWS Cloud services:
EMR
EC2
S3
VPC
RDS
Redshift
AWS Glue
IAM
CloudWatch
CloudFormation
Experience with:
Airflow (or AWS Managed Workflows)
Databases
Experience working with:
Netezza (Mandatory)
SQL-based systems:
SQL Server
PostgreSQL
Data warehouses:
Teradata
Redshift
Netezza
ETL Tools
Hands-on experience with:
SSIS
Pentaho or similar ETL tools
Programming & Scripting
Strong proficiency in:
SQL
Shell scripting
Good to have:
Python
Operating Systems
Strong experience in Unix/Linux environments.
Key Qualifications
10 years of experience in Data Engineering / Big Data / Platform Engineering.
Key Responsibilities
Design develop maintain and support scalable data pipelines using Big Data and AWS technologies.
Lead and support data platform migration initiatives (On-Prem to AWS Cloud) ideally with Netezza background.
Develop and manage ETL/ELT processes using tools like SSIS Pentaho or similar.
Implement and manage AWS services such as:
EMR
S3
EC2
Redshift
Glue
Airflow
Build and optimize data workflows and orchestration pipelines using Airflow.
Work with real-time streaming technologies such as:
Kafka
Spark Streaming
Perform data ingestion transformation and validation from multiple data sources.
Optimize SQL queries for performance and scalability.
Monitor system performance troubleshoot issues and ensure system reliability.
Collaborate with cross-functional teams including:
Developers
Architects
Infrastructure teams.
Required Skills:
Sailpoint
