Data Run Support Engineer - AWS / Snowflake

Zorba Consulting; Mumbai, Delhi, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Zorba Consulting is seeking a Data Run Support Engineer to maintain production data pipelines, resolve incidents, and ensure data quality across AWS, Snowflake, Python/PySpark, and SQL environments. You will own issues end-to-end, monitor platforms, and drive improvements in MTTR and reliability.

You will troubleshoot data failures, perform RCA, develop automation scripts, and collaborate with platform teams, business users, and developers during critical incidents.

Qualifications

• Proven ability to monitor and support production data pipelines.
• Investigate and resolve data failures, delays, and production incidents.
• Perform Root Cause Analysis (RCA) and implement permanent corrective actions.
• Handle production incidents, service requests, and operational tickets using ITSM tools.
• Troubleshoot data quality issues including missing, duplicate, or inconsistent data.
• Perform data reconciliation between source systems and downstream applications.
• Develop Python and SQL automation scripts for monitoring, validation, and processing.
• Troubleshoot and optimize Snowflake queries, warehouses, and data pipelines.
• Support ETL/ELT processes, data integrations, APIs, and file-based processing.
• Monitor AWS data platforms, storage, compute, logging, and system performance.
• Support production releases, deployments, environment promotions, cutovers, and rollback activities.
• Maintain runbooks, documentation, support procedures, and incident records.
• Identify recurring issues and implement automation and preventive controls.
• Collaborate with platform teams, developers, business users, and stakeholders during incidents.
• Drive improvements in MTTR, stability, monitoring, alerting, and efficiency.

Responsibilities

• Monitor and support production data pipelines, data products, integrations, and analytics platforms.
• Investigate and resolve data failures, processing delays, pipeline failures, and production incidents.
• Perform Root Cause Analysis (RCA) and implement permanent corrective actions.
• Handle production incidents, service requests, and operational tickets using ServiceNow or similar ITSM tools.
• Troubleshoot data quality issues including missing, duplicate, inaccurate, or inconsistent data.
• Perform data reconciliation between source systems and downstream applications.
• Develop Python and SQL automation scripts for monitoring, validation, file processing, and operational activities.
• Troubleshoot and optimize Snowflake queries, warehouses, and data pipelines.
• Support ETL/ELT processes, data integrations, APIs, and file-based data processing.
• Monitor AWS data platforms, storage, compute, logging, and system performance.
• Support production releases, deployments, environment promotions, cutovers, and rollback activities.
• Maintain runbooks, technical documentation, support procedures, and incident records.
• Identify recurring production issues and proactively implement automation and preventive controls.
• Collaborate with platform teams, developers, business users, and other stakeholders during critical incidents.
• Drive improvements in MTTR, platform stability, monitoring, alerting, and operational efficiency.

Skills

AWS Data Engineering

Snowflake

Python

PySpark

SQL

Production Support

ETL/ELT

Incident Management

RCA

Data Quality

Data Validation

AWS Monitoring

Logging

Troubleshooting

dbt

GitLab

Release & Change Management

ServiceNow

Data Observability

Monitoring

Alerting

Tableau

Power BI

SAP ECC

SAP S/4HANA

Tools

ServiceNow

GitLab

Tableau

Power BI

SAP ECC

SAP S/4HANA

Job description

• We are looking for a Data Run Support Engineer with strong experience in AWS Data Engineering, Snowflake, Python/PySpark, SQL, and Production Support.
• The role is focused on maintaining and supporting production data pipelines, resolving incidents, ensuring data quality, monitoring platforms, and improving operational reliability.
• The ideal candidate should be proactive, have strong troubleshooting skills, communicate effectively with technical and business stakeholders, and be capable of owning production issues from identification through resolution and RCA.

Key Responsibilities

• Monitor and support production data pipelines, data products, integrations, and analytics platforms.
• Investigate and resolve data failures, processing delays, pipeline failures, and production incidents.
• Perform Root Cause Analysis (RCA) and implement permanent corrective actions.
• Handle production incidents, service requests, and operational tickets using ServiceNow or similar ITSM tools.
• Troubleshoot data quality issues including missing, duplicate, inaccurate, or inconsistent data.
• Perform data reconciliation between source systems and downstream applications.
• Develop Python and SQL automation scripts for monitoring, validation, file processing, and operational activities.
• Troubleshoot and optimize Snowflake queries, warehouses, and data pipelines.
• Support ETL/ELT processes, data integrations, APIs, and file-based data processing.
• Monitor AWS data platforms, storage, compute, logging, and system performance.
• Support production releases, deployments, environment promotions, cutovers, and rollback activities.
• Maintain runbooks, technical documentation, support procedures, and incident records.
• Identify recurring production issues and proactively implement automation and preventive controls.
• Collaborate with platform teams, developers, business users, and other stakeholders during critical incidents.
• Drive improvements in MTTR, platform stability, monitoring, alerting, and operational efficiency.

Mandatory Technical Skills

• AWS Data Engineering Snowflake Python PySpark
• Strong SQL Production / L2-L3 Support ETL/ELT and Data Pipeline Troubleshooting Incident Management & RCA Data Quality and Data Validation AWS Monitoring & Logging fundamentals Strong troubleshooting and problem-solving skills
• Good-to-Have Skills - dbt
• Models, testing, dependencies, troubleshooting GitLab
• Branch management, deployments, and release support ServiceNow Data Observability / Monitoring / Alerting tools Tableau / Power BI SAP ECC / SAP S/4HANA Knowledge of SAP Procurement, Manufacturing, or Quality processes Release and Change Management

Required Soft Skills

• Excellent verbal and written communication High urgency for production-impacting issues
• Strong ownership and accountability
• Ability to own an issue from identification to resolution
• Proactive approach to troubleshooting and problem prevention
• Strong attention to detail Ability to work effectively with technical and business stakeholders

Ideal Candidate

• The ideal candidate will be an AWS Data Engineer with strong Snowflake, Python/PySpark, and SQL skills, combined with hands-on production support experience.
• Candidates with strong incident management, RCA, data troubleshooting, automation, and stakeholder communication skills will be preferred.

Location - Pan India,Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune