PLSQL Developer

Job Description:

Job Description

Role Purpose

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

J D

Job Summary:
We are seeking a skilled and proactive Data Platform Support Engineer to join our team.
This role is critical in ensuring the smooth operation, maintenance, and enhancement of our
data infrastructure and workflows. The ideal candidate will have hands-on experience with
Airflow, Redshift, EMR, Python, SQL, and AWS, and will be responsible for monitoring,
troubleshooting, and optimizing the data ecosystem.
Key Responsibilities:
• Monitor and support data workflows built using Apache Airflow, including
troubleshooting DAG failures and performance issues.
• Troubleshoot and resolve issues in AWS EMR clusters and Redshift data warehouse
environments.
• Write and optimize SQL queries.
• Develop and maintain Python scripts for automation and housekeeping.
• Perform hands-on troubleshooting across the data ecosystem infrastructure, including
compute, storage, and orchestration layers.
• Implement and maintain monitoring and alerting systems for data infrastructure such
as Redshift, EMR, and Airflow using AWS cloud watch.
• Collaborate with engineers from cross teams to ensure platform availability.
• Participate in on-call rotations and provide timely support for production issues.
• Document processes, configurations, and troubleshooting steps for knowledge sharing.
Required Skills & Qualifications:
• 3 years of experience in data engineering or data platform support roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Airflow, including DAG development and debugging.
• Experience with Amazon Redshift, AWS EMR, and other AWS services (e.g., S3, Lambda,
CloudWatch).
• Proven experience in platform monitoring and hands-on troubleshooting in cloud-based
data environments.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with CI/CD tools and practices.
• Familiarity with version control systems like Git.
Preferred Qualifications:
• Familiarity with terraform.
• Exposure to big data technologies such as Spark or Hive

Job Summary:
We are seeking a skilled and proactive Data Platform Support Engineer to join our team.
This role is critical in ensuring the smooth operation, maintenance, and enhancement of our
data infrastructure and workflows. The ideal candidate will have hands-on experience with
Airflow, Redshift, EMR, Python, SQL, and AWS, and will be responsible for monitoring,
troubleshooting, and optimizing the data ecosystem.
Key Responsibilities:
• Monitor and support data workflows built using Apache Airflow, including
troubleshooting DAG failures and performance issues.
• Troubleshoot and resolve issues in AWS EMR clusters and Redshift data warehouse
environments.
• Write and optimize SQL queries.
• Develop and maintain Python scripts for automation and housekeeping.
• Perform hands-on troubleshooting across the data ecosystem infrastructure, including
compute, storage, and orchestration layers.
• Implement and maintain monitoring and alerting systems for data infrastructure such
as Redshift, EMR, and Airflow using AWS cloud watch.
• Collaborate with engineers from cross teams to ensure platform availability.
• Participate in on-call rotations and provide timely support for production issues.
• Document processes, configurations, and troubleshooting steps for knowledge sharing.
Required Skills & Qualifications:
• 3 years of experience in data engineering or data platform support roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Airflow, including DAG development and debugging.
• Experience with Amazon Redshift, AWS EMR, and other AWS services (e.g., S3, Lambda,
CloudWatch).
• Proven experience in platform monitoring and hands-on troubleshooting in cloud-based
data environments.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with CI/CD tools and practices.
• Familiarity with version control systems like Git.
Preferred Qualifications:
• Familiarity with terraform.
• Exposure to big data technologies such as Spark or Hive

Job Summary:
We are seeking a skilled and proactive Data Platform Support Engineer to join our team.
This role is critical in ensuring the smooth operation, maintenance, and enhancement of our
data infrastructure and workflows. The ideal candidate will have hands-on experience with
Airflow, Redshift, EMR, Python, SQL, and AWS, and will be responsible for monitoring,
troubleshooting, and optimizing the data ecosystem.
Key Responsibilities:
• Monitor and support data workflows built using Apache Airflow, including
troubleshooting DAG failures and performance issues.
• Troubleshoot and resolve issues in AWS EMR clusters and Redshift data warehouse
environments.
• Write and optimize SQL queries.
• Develop and maintain Python scripts for automation and housekeeping.
• Perform hands-on troubleshooting across the data ecosystem infrastructure, including
compute, storage, and orchestration layers.
• Implement and maintain monitoring and alerting systems for data infrastructure such
as Redshift, EMR, and Airflow using AWS cloud watch.
• Collaborate with engineers from cross teams to ensure platform availability.
• Participate in on-call rotations and provide timely support for production issues.
• Document processes, configurations, and troubleshooting steps for knowledge sharing.
Required Skills & Qualifications:
• 3 years of experience in data engineering or data platform support roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Airflow, including DAG development and debugging.
• Experience with Amazon Redshift, AWS EMR, and other AWS services (e.g., S3, Lambda,
CloudWatch).
• Proven experience in platform monitoring and hands-on troubleshooting in cloud-based
data environments.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with CI/CD tools and practices.
• Familiarity with version control systems like Git.
Preferred Qualifications:
• Familiarity with terraform.
• Exposure to big data technologies such as Spark or Hive

Deliver
No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation

Mandatory Skills: Oracle SQL .

Experience: 3-5 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Client-provided location(s): Mumbai, India

Job ID: Wipro-136747

Employment Type: OTHER

Posted: 2026-02-28T18:44:03