Data Platform Support Engineer

Systems Plus Solutions Pvt Ltd

2 - 5 years

4 - 7 Lacs

pune

Posted:6 days ago| Platform:

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Skills Required

data validation production support reconciliation mysql debugging json troubleshooting monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Mandatory Skills

Hands-on experience with
AWS services
, especially
AWS Glue, DynamoDB, S3, CloudWatch
Strong
SQL
skills for data validation and troubleshooting (Aurora / Postgres / MySQL)
Experience in
monitoring batch or near-real-time data pipelines
Ability to
triage incidents
, follow SOPs, and escalate appropriately
Experience working in
production support environments
with SLAs
Python
: reading/debugging ETL scripts, making small fixes
Clear
written and verbal communication
for incident updates and documentation

Primary Skills

AWS Glue
: job monitoring, reruns, backfills, basic troubleshooting
CloudWatch Logs
: log analysis and error identification
Data validation & reconciliation
between source and target systems
Ticketing tools
(Jira, ServiceNow, Freshservice, etc.)
Understanding of
source ingestion processing analytics
data flows

Secondary / Good-to-Have Skills

Experience with
API-based data ingestion
(REST, JSON payloads)
Exposure to
e-commerce platforms
(BigCommerce, Shopify, etc.)
Familiarity with
analytics/reporting use cases
(marketing, performance dashboards)
Experience with
on-call or extended-hours support
Basic understanding of
data architecture concepts
(batch vs streaming, ETL/ELT)
Knowledge of
Git / version control
for code review and fixes

Key Responsibilities

Monitor AWS data pipelines and respond to alerts and reported data issues
Perform SOP-based triage, Glue job reruns, and backfills
Validate data freshness and completeness using SQL and logs
Investigate non-SOP issues and apply L2 fixes in Python/Glue/configuration
Coordinate with stakeholders and provide timely incident updates
Maintain and improve SOPs, runbooks, and known-issue documentation
Flexibility to work in 24x7 environment (Primarily in US business hours)

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