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Photon

Data Engineer (Python, SQL) - CHN

Posted 2 Days Ago
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Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Perform data migration/refresh from production, support Python-based data refresh framework, run post-migration fixes, validate and reconcile data, monitor and resolve batch jobs and pipeline issues, perform performance checks, and coordinate with dependent teams.
The summary above was generated by AI

Location: 6- 9 Years
Experience: Chennai

Must Have Skills

 

Primary skills: Python Oracle PL/SQL

 

Secondary Skills: BI Tools usage, Informatica usage

Execute data migration / refresh / copy from Production databases (backup/snapshot, secure transfer, restore, validation, monitoring)

Support Python based Data Refresh Framework, including post refresh fixes and validations

Perform post migration environment fixes (jobs, batch processes, alerts, triggers, configurations)

Conduct data validation and reconciliation (source vs target, aggregates, business metrics)

Perform performance and stability checks, including query performance review

Fix data pipeline issues from Production to downstream systems

Monitor and resolve batch job failures (scheduling, dependencies, resources)

Coordinate with dependent teams for issue resolution

Perform DSR data fixes (data mismatches, calculation errors, reruns, report corrections)

Photon Chennai, Tamil Nadu, IND Office

DLF IT Park 1/124 Mount Poonamallee Road Sivaji Gardens Manapakkam , Chennai, India, 600089

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What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

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