R14127 | SSE | Data OPS (Data Engineer)

Bossini Technologies India Pvt. Ltd.; Bengaluru Urban; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bossini Technologies India Pvt. Ltd. is seeking a Senior Consultant Data OPS (Data Engineer) to support data operations on-site in Bangalore/Chennai. The role requires on-call support and strict adherence to office-based work rituals.

The candidate should have 3+ years in data production support, with hands-on skills in Python, Databricks, Unity Catalog, ADLS, Spark and Airflow. Strong communication and RCA abilities are essential for success.

Qualifications

• Minimum 3 years' experience in data and production support with hands-on incident handling.
• Proficiency in Python and Databricks for data engineering tasks.
• Experience with Unity Catalog, Azure Data Lake Storage (ADLS) and Spark.
• Hands-on experience with Airflow and data pipeline design.
• Familiarity with Kubernetes, Terraform, and cost management in Azure environment.

Responsibilities

• Provide on-call data engineering support and resolve incidents.
• Work from Bangalore/Chennai office; no laptop to be taken home.
• Follow ODC requirements; rotate on-call duties within the team.
• Communicate clearly with stakeholders and document RCA outcomes.
• Ensure timely incident management and stakeholder updates.

Skills

Communication

Stakeholder Management

Incident Management

Troubleshooting

Tools

Python

Databricks

Unity Catalog

ADLS

Spark

Airflow

Azure Kubernetes

Log Analytics

SQL

Terraform

Kubernetes

PowerBI

Gitlab

Jira

Confluence

Shell scripting

Job description

Bossini Technologies India Pvt. Ltd. | Full time

Bangalore North, India | Posted on 08/21/2026

1. We are looking for a Senior Consultant Data OPS (Data Engineer) profile

2. The person is expected to be available on call support and to follow ODC requirements, working all days from Bangalore/Chennai office. No laptop will netaken home by contractor all the task need to be performed in office. Duringon-call support candidate need to go back to office after shift hours toprovide help. As a team, one person does the on call support and one personwork in general shift.

IST:

Usual days: 9am-6pm

On call support days: 12:30pm-9:30pm

Requirements

• Minimum 3 yrs exp. in Data and production support hands on skill,handling incidents
• Python - Must have
• Databricks - Must have
• Unity Catalog - Must have
• ADLS - Must have
• Spark - Must have
• Job Orchestration (Airflow) - Must have
• Data pipeline Architecture and Design - Must have
• Azure Services (Kubernetes,AVD,Log Analytics Workspace, SQL, Costing) - Musthave
• Troubleshooting and RCA - Must have
• Incident Management - Must have
• Communication - Must have
• Stakeholder Management - Must have
• Terraform - Good to have
• Kubernetes - Good to have
• PowerBI - Good to have
• Gitlab - Good to have
• Feature Leading - Good to have
• Jira / Confluence - Good to have
• Shell scripting - Good to have