Hiring Alert on eazyway.io | Data Platforms AWS

Location: Bengaluru, Karnataka

Work Type: On-Site | Full-Time

Total Positions: 2

Experience: 3–5 Years

Isiri Technologies INC is looking to hire Data Platforms AWS professionals through the Eazyway Platform. Candidates should have solid experience in SQL, PL/SQL, Spark, Hadoop, Hive, ETL, Linux/Unix scripting, batch processing, and data pipeline support.

The ideal candidate should have hands-on experience supporting data platforms, monitoring batch jobs and pipelines, handling incidents and problems, and working in Agile development environments. Knowledge of AWS S3, Control-M/Airflow, Splunk/Sumo Logic, Tableau/Power BI, and AI-assisted incident analysis will be an added advantage.

Key Responsibilities

1. Data Platform Development & Support

• Support and maintain enterprise data platforms and data processing environments.
- Work with SQL and PL/SQL for data analysis, processing, and troubleshooting.
- Develop and maintain data processing solutions using Spark, Spark SQL, and Hive.
- Support Big Data technologies including Hadoop, Apache Spark, and Hive.
- Analyze data-related issues and provide appropriate technical solutions.

1. ETL & Data Pipeline Support

- Develop, maintain, and troubleshoot ETL workflows using Talend or similar ETL tools.
- Monitor batch jobs and data pipelines to ensure successful execution.
- Investigate pipeline failures, data processing issues, and job errors.
- Perform data validation and troubleshoot data-quality-related issues.
- Support scheduling and execution of recurring data processing jobs.

1. Linux/Unix & Shell Scripting

- Work in Linux/Unix environments for application and data platform support.
- Develop and maintain shell scripts for automation and data processing tasks.
- Troubleshoot system, application,



and batch-processing issues using command-line tools.
- Automate repetitive operational activities where appropriate.

1. Incident & Problem Management

- Perform incident triaging and identify the root cause of technical issues.
- Handle production incidents related to data platforms and pipelines.
- Perform problem analysis and implement corrective actions.
- Monitor and track incidents through ticket-management systems.
- Coordinate with relevant technical teams for issue resolution and escalation.

1. Batch Job Monitoring & Scheduling

- Monitor scheduled batch jobs and data-processing workflows.
- Troubleshoot failed or delayed batch jobs.
- Work with scheduling tools such as Control-M or Airflow.
- Monitor job dependencies and ensure successful completion of data pipelines.
- Support operational activities related to data platform scheduling.

1. AWS & Cloud Data Platforms

- Work with AWS cloud services supporting data platform operations.
- Use Amazon S3 for data storage and data-processing workflows where required.
- Support cloud-based data pipelines and troubleshoot AWS-related data platform issues.
- Follow appropriate cloud and data platform operational practices.

1. Monitoring, Visualization & Reporting

- Monitor data platforms and applications using tools such as Splunk or Sumo Logic.
- Analyze logs and identify issues affecting data pipelines and applications.
- Support data visualization and reporting using Tableau or Power BI.




- Provide operational insights based on monitoring and reporting data.

1. Agile Development & Collaboration

- Participate in Agile development activities and sprint planning.
- Manage tickets and work items using JIRA.
- Collaborate with developers, data engineers, application teams, and other stakeholders.
- Participate in requirement discussions, issue triaging, testing, and implementation activities.
- Maintain appropriate technical documentation and support records.

Experience & Qualifications

- Experience: 3–5 years of experience in data platforms, data engineering, application support, or a related field.
- Strong experience with SQL and PL/SQL.
- Hands-on experience with Apache Spark, Spark SQL, and Hive.
- Experience with Big Data technologies such as Hadoop, Spark, and Hive.
- Experience with ETL tools such as Talend or similar platforms.
- Strong understanding of Linux/Unix environments and shell scripting.
- Experience with incident and problem management.
- Experience with incident triaging and production support.
- Experience in batch job monitoring and data pipeline support.
- Experience working with JIRA, sprint planning, and ticket management.
- Knowledge of AWS S3 is an advantage.
- Knowledge of Control-M or Airflow is an advantage.
- Experience with Splunk or Sumo Logic is an advantage.
- Knowledge of Tableau or Power BI is an advantage.
- Basic understanding of Machine Learning and AI-assisted incident analysis is an advantage.

Job Code: EZW-100384

How to Apply

Step 1: Register as a Job Seeker using the link below:

https://eazyway.io/register

Step 2: Log in after completing the registration.

Step 3: Search using Job Code: EZW-100384 in the Recruitment Job Section.

Step 4: Submit your application.

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📌 Data Platforms AWS (Bengaluru)
🏢 eazyway.io
📍 Bengaluru