Job Description

Location: Pune

Employment Type: full-time

Job Details

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)