Data Platform Engineer

IN13 Techwave Consulting India Private Ltd.; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

IN13 Techwave Consulting India Private Ltd. is seeking a Senior Associate Data Platform Engineer to ensure the reliability and operational excellence of our enterprise data platform. The role involves designing scalable data solutions and maintaining CI/CD pipelines.

The ideal candidate has at least 5 years of operational experience with a strong focus on Snowflake, Python, and data engineering principles. This position is based in Hyderabad and offers opportunities for mentorship and professional growth.

Qualifications

• 5+ years of relevant experience in platform engineering and operations.
• Hands-on experience with Snowflake is required.
• Proficiency in Python and SQL.
• Experience with ETL/ELT tools and orchestration.
• Proven experience with API-based data ingestion.
• Strong operational discipline in incident and problem management.
• Familiarity with cloud data platforms like Azure or AWS.

Responsibilities

• Design and implement scalable ingestion, orchestration, compute, and storage patterns.
• Build and maintain CI/CD for data platform assets.
• Drive production reliability through SRE-aligned practices.
• Implement data quality and observability patterns.
• Support user onboarding requests and incident management.

Skills

Platform engineering

Snowflake

Python

SQL

ETL/ELT tools

API-based data ingestion

CI/CD

Cloud data platforms (Azure, AWS)

Agile/Scrum

Education

Bachelor’s degree in information technology, Computer Science, Engineering, or related discipline

Tools

Informatica

DBT

Job description

Role

Data Platform Engineer – Senior Associate (Data & Analytics | Data Operations)

Location: Hyderabad

Summary

Tech’s Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Data Platform Engineer - Senior Associate is responsible for the reliability, scalability, and operational excellence of the enterprise data platform and its services. This role focuses on production support, platform reliability improvements, automation, and standardization, enabling scalable delivery and maintenance of trusted data products aligned to the Data & Analytics strategy.

Responsibilities

• Design and implement scalable ingestion, orchestration, compute, and storage patterns for enterprise analytics and data products.
• Build and maintain CI/CD for data platform assets and pipeline deployments; develop reusable templates/modules to accelerate onboarding and delivery.
• Maintain the Information Architecture (IA).
• Drive production reliability through SRE‑aligned practices: monitoring, alerting, SLOs/SLIs, error budgets, automated remediation, and runbooks.
• Implement data quality and data observability patterns and integrate with enterprise monitoring.
• Partner with security and governance stakeholders to embed access, encryption, key management, and masking/tokenization patterns where required.
• Maintain, enforce, and automate role‑based access control (RBAC).
• Support user onboarding requests.
• Respond to and remediate security incidents.
• Provide evidence for audits.
• Ensure business continuity processes are documented and reviewed.
• Optimize cost and performance for warehouses, queries and data loads.
• Recommend and deploy schema changes (tables, views, materialized views, etc.).
• Identify and analyze pipeline failures and performance issues, recommend and deploy query tuning and optimization.
• Regular management of service requests, change requests, and incident management.
• Major Incident Management (MIM) including enhanced response times, support, Root Cause Analysis (RCA) and remediation.
• Weekly operational reporting on service request status, incident management, RCA tickets, platform improvements and platform consumption (FinOps) monitoring.
• Mentor associate engineers; contribute to standards and documentation.

Qualifications

• Strong platform engineering/operational background with 5+ years of relevant experience.
• Hands‑on Snowflake experience is required.
• Proficiency in Python and SQL.
• Experience with ETL/ELT tools and orchestration (Informatica, DBT).
• Proven experience with API‑based data ingestion (REST APIs, JSON/XML).
• Experience implementing and maintaining CI/CD, IA, and environment management for data platforms.
• Strong operational discipline: incident management, problem management, and release/change practices.
• Familiarity with cloud data platforms (Azure, AWS).
• Strong understanding of data lifecycle.
• Agile/Scrum delivery exposure.
• Bachelor’s degree in information technology, Computer Science, Engineering, or related discipline.
• Experience with lakehouse and/or modern warehouse platforms; streaming platforms; data catalog/lineage.
• Experience with enterprise authentication/authorization patterns, RBAC, secrets management.
• Exposure to FinOps practices for platform consumption.