Data Engineer

Experis (Austria)

New Providence (NJ)

Remote

USD 96,000 - 102,000

Full time

2 days ago

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Job summary

Experis seeks a Data Operations & Production Support Analyst to monitor campaign execution, perform data quality checks, and coordinate cross‑team incident resolution. You will assist with campaign setup changes, data mapping, and production corrections while tracking schedules and delivery eligibility.

Responsibilities include validating outputs, investigating data anomalies, and maintaining QC documentation.

Qualifications

Experience in Data Operations, Production Support, Application Support, Campaign Operations, Analytics Operations, or a similar data‑intensive environment.
Strong hands‑on SQL skills to query large datasets and investigate data discrepancies.
Experience supporting scheduled production workflows, batch processing, or data pipelines.
Strong troubleshooting skills for first‑level issue analysis.
Experience with data validation, reconciliation, and quality‑control processes.
Excellent written and verbal communication skills.
Ability to manage multiple concurrent deliverables, production incidents, and operational priorities.
Strong attention to detail, problem‑solving ability, and an ownership mindset.

Responsibilities

Monitor campaign execution to confirm processing, quality checks, and delivery activities complete accurately.
Assist with campaign setup changes, including data mapping, cost refreshes, reruns, and production corrections.
Review processing requirements and dependencies prior to campaign execution.
Track campaign schedules, end dates, and processing eligibility.
Coordinate validated outputs and operational handoffs to downstream teams.
Run quality checks on campaign outputs and investigate data anomalies.
Validate processing results using record counts, trends, and data accuracy checks.
Support QC for portal files and monthly data extracts.
Investigate discrepancies and coordinate resolutions with relevant teams.
Maintain QC documentation and support continuous improvement of operational controls.
Act as an onshore point of contact for production issues, failed jobs, data discrepancies, and operational questions.
Conduct initial troubleshooting and determine when technical escalation is needed.
Collect supporting evidence for investigations, including logs, SQL queries, and screenshots.
Coordinate retesting and validation after production fixes.
Track incidents through resolution and communicate updates to stakeholders.
Support root‑cause analysis and recurring issue management.
Collaborate with Data Management, Product Support, Development, Data Ingestion, Client Engagement, and other technical teams.
Translate business and operational issues into clear technical support requests.
Coordinate campaign exceptions, missing inputs, mapping decisions, reruns, and redeliveries.
Communicate operational status, risks, blockers, and downstream impacts.
Participate in operational meetings, campaign reviews, and issue discussions.
Maintain operational trackers, support tickets, processing statuses, and issue documentation.
Maintain standard operating procedures and production support documentation.
Identify recurring issues and opportunities for automation and process improvement.
Support new operational controls and transition new capabilities into production support.
Follow established approval and change‑control procedures.

Skills

SQL

Production Support

Data Operations

Troubleshooting

Communication

Tools

Snowflake

Jira

Confluence

ETL

Power BI

SFTP

Job description

Support campaign operations and production workflows with hands‑on SQL, data quality checks, and cross‑team incident resolution.

Responsibilities

Monitor campaign execution to confirm processing, quality checks, and delivery activities complete accurately.
Assist with campaign setup changes, including data mapping, cost refreshes, reruns, and production corrections.
Review processing requirements and dependencies prior to campaign execution.
Track campaign schedules, end dates, and processing eligibility.
Coordinate validated outputs and operational handoffs to downstream teams.
Run quality checks on campaign outputs and investigate data anomalies.
Validate processing results using record counts, trends, and data accuracy checks.
Support QC for portal files and monthly data extracts.
Investigate discrepancies and coordinate resolutions with relevant teams.
Maintain QC documentation and support continuous improvement of operational controls.
Act as an onshore point of contact for production issues, failed jobs, data discrepancies, and operational questions.
Conduct initial troubleshooting and determine when technical escalation is needed.
Collect supporting evidence for investigations, including logs, SQL queries, and screenshots.
Coordinate retesting and validation after production fixes.
Track incidents through resolution and communicate updates to stakeholders.
Support root‑cause analysis and recurring issue management.
Collaborate with Data Management, Product Support, Development, Data Ingestion, Client Engagement, and other technical teams.
Translate business and operational issues into clear technical support requests.
Coordinate campaign exceptions, missing inputs, mapping decisions, reruns, and redeliveries.
Communicate operational status, risks, blockers, and downstream impacts.
Participate in operational meetings, campaign reviews, and issue discussions.
Maintain operational trackers, support tickets, processing statuses, and issue documentation.
Maintain standard operating procedures and production support documentation.
Identify recurring issues and opportunities for automation and process improvement.
Support new operational controls and transition new capabilities into production support.
Follow established approval and change‑control procedures.

Requirements

Experience in Data Operations, Production Support, Application Support, Campaign Operations, Analytics Operations, or a similar data‑intensive environment.
Strong hands‑on SQL skills to query large datasets and investigate data discrepancies.
Experience supporting scheduled production workflows, batch processing, or data pipelines.
Strong troubleshooting skills for first‑level issue analysis.
Experience with data validation, reconciliation, and quality‑control processes.
Excellent written and verbal communication skills.
Ability to manage multiple concurrent deliverables, production incidents, and operational priorities.
Strong attention to detail, problem‑solving ability, and an ownership mindset.

Technologies