Data Platforms AWS

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 strong 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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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