About the role
Experience Required
10+ years
Job Summary
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. 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.
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) 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, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and 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, and infrastructure teams
Required Technical Skills
Cloud Technologies
Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases
Experience working with: SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Hands-on experience with: SSIS 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 Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor's degree in Computer Science, Engineering, or related field
Preferred Qualifications
Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development
Soft Skills
Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and lead initiatives Experience mentoring team members
Nice to Have
Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frameworks
Similar Jobs
About the role
Experience Required
10+ years
Job Summary
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. 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.
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) 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, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and 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, and infrastructure teams
Required Technical Skills
Cloud Technologies
Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases
Experience working with: SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Hands-on experience with: SSIS 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 Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor's degree in Computer Science, Engineering, or related field
Preferred Qualifications
Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development
Soft Skills
Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and lead initiatives Experience mentoring team members
Nice to Have
Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frameworks