Cloud Engineer

Position Title - Data Operations Engineer

Experience - 6 to 8 yrs

Location - Bangalore

The Landmark GroupLandmark Group

began its journey in

1973

with one store in Bahrain and has grown into one of the largest retail and hospitality conglomerates in the

Middle East, Africa and India.

Currently the Group operates over

2,200 outlets, encompassing over 30 million square feet across 21 countries.

Job Purpose

Landmark Group is seeking a

Data Ops Engineer

to enhance the reliability, governance, and efficiency of our enterprise data platform. In this role, you will streamline and automate the data lifecycle across ingestion, orchestration, observability, and deployment — ensuring data availability, accuracy, and performance across environments.

You will work closely with data engineers, platform engineers, and analytics teams to establish CI / CD pipelines for data workflows, monitor end-to-end data health, and enable proactive issue detection through observability dashboards. The role also involves driving governance standards, optimizing compute and storage costs, and strengthening automation practices across our Azure-based data ecosystem.

Job Description

Responsible for the governance ensuring data availability, accuracy, and performance across environments as an expert

Azure Data Ops with 6-8 years of experience.

Orchestrate, monitor, and automate data pipelines across

Azure Data Factory, Databricks, and Synapse.

Build scalable CI / CD workflows

using Azure DevOps for data deployments and version control.

Ensure data pipeline reliability through alerting, auto-restart, and SLA compliance.

Set up proactive alerts and error handling for failed or delayed pipelines.

Drive process standardization and documentation for repeatable and auditable data workflows.

Enable lineage and impact analysis across datasets to improve governance and trust.

Enforce

data quality checks (DQ rules, schema validation, completeness)

at ingestion and transformation stages.

Collaborate with governance teams to align with cataloging, retention, and compliance standards.

Continuously

optimize data processing cost, performance, and resource utilization

across environments.

Knowledge, Skills & Experience

Relevant Job Experience

Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree preferred).

6–8 years of experience in data platform operations or DataOps within the Azure ecosystem.

Hands-on expertise in :

Azure Data Factory, Databricks, Synapse, and Azure DevOps .

CI / CD pipeline

design for data workflows.

Python, SQL, PowerShell

scripting for automation.

Data governance

and observability tools.

Preferred

Familiarity with big data frameworks (Spark, Delta Lake).

Experience in a retail data environment.

Azure certifications : Azure Data Engineer Associate or DevOps Engineer Expert.