Remote Application support ₹15,00,000 Jobs – 122 Open Jobs Today

Senior Data Engineer – Azure Databricks
K9V Tech & AI —Remote
- ₹12,00,000 - ₹18,00,000 a year
- Remote
- Azure
- ERP systems
- SQL
- Paid time off
- Work from home
Quick apply
SAP Commerce Backend Senior Consultant (Senior Developer)
Kasmoprav —Remote
- ₹800 - ₹900 an hour
- Call employer
- Remote
- Java
- Agile
- IT
- Work from home
Quick apply
3d
Software Engineer – Integrations & Interfaces
openDoctor —Remote
- ₹15,00,000 - ₹22,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
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SAP ACM ABAP Developer
Recruitment Hub 365 —Remote
- ₹1,50,000 - ₹1,70,000 a month
- Remote
- Work from home
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Senior SAP ABAP Developer – SAP ACM | S/4HANA
Potla Tech Solutions —Remote
- ₹1,50,000 - ₹1,60,000 a month
- Remote
- Software troubleshooting
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DevOps Architect
MNJ Software —Remote
- Full-time
- Remote
- Azure
- DevOps
- English
- Work from home
Senior Java Full Stack Developer
Inditech Intelligent Automation Solutions —Remote
- ₹18,00,000 - ₹23,00,000 a year
- Full-time
- Remote
- Azure
- Oracle
- Software troubleshooting
- Health insurance
- Work from home
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Senior MME Software Developer (LTE EPC Core)
SPARKLINE BIZ SOLUTIONS —Remote
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Remote
- C++
- Computer networking
- Software development
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12d
Technical Project Manager
Khoj Information Technology, Inc. —Remote
- Up to ₹35,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- PMP
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10h

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SAP Commerce Backend Senior Consultant (Senior Developer)
Kasmoprav —Remote
Collaborate with customers and business stakeholders to understand requirements and design scalable backend solutions. Contract Duration:* 3–6 Months.
₹800 - ₹900 an hour
Quick apply
3d

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Senior Data Engineer – Azure Databricks

K9V Tech & AI
Remote

Quick apply

Job details

Contractual / Temporary
₹12,00,000 - ₹18,00,000 a year

Benefits

Paid time off
Work from home

Qualifications

CI/CD
Power BI
Data modelling
Azure
SAP
ERP systems
SQL
Cloud security
Continuous integration
REST
Unity
APIs
ETL
JSON
SAP ERP
SaaS
AI
Communication skills
Python

Full job description

K9V Tech is looking for a highly skilled Senior Data Engineer – Azure Databricks to join our Data Engineering & Analytics practice.

The role is focused on building scalable, reliable and governed data pipelines on Microsoft Azure and Databricks, supporting enterprise Lakehouse initiatives and downstream BI, analytics and AI/ML use cases.

The candidate must have strong hands-on experience with Azure Databricks, PySpark, Python, Delta Lake and Lakehouse architecture.

Key Responsibilities

Design, develop and maintain scalable data pipelines using Azure Databricks.
Build Bronze, Silver and Gold data layers following Medallion Architecture.
Develop PySpark-based data transformation pipelines.
Build and maintain Delta Lake tables.
Develop batch and incremental data ingestion pipelines.
Implement data cleansing, transformation and enrichment processes.
Work with structured and semi-structured data.
Develop reusable and production-grade data engineering frameworks.
Implement data-quality checks and reconciliation mechanisms.
Monitor pipeline performance and troubleshoot production issues.
Implement efficient data processing and optimization techniques.
Work with Azure data services and enterprise data platforms.
Support data modelling for analytics and BI workloads.
Collaborate with Solution Architects, Lead Data Engineers, BI developers and business stakeholders.
Ensure pipelines follow enterprise security, governance and development standards.
Support deployment and orchestration of Databricks workloads.

Mandatory Technical SkillsAzure Databricks

Strong hands-on experience with Azure Databricks.
Strong understanding of Databricks Lakehouse architecture.
Experience with Databricks notebooks, clusters and jobs.
Experience with Databricks Workflows.
Strong understanding of Delta Lake.

Data Engineering

Strong experience with PySpark.
Advanced Python programming.
Strong SQL skills.
Experience developing ETL/ELT pipelines.
Experience with batch and incremental data processing.
Experience handling structured and semi-structured data.
Experience with data-quality and reconciliation processes.

Azure

Strong understanding of Microsoft Azure data services.
Experience with Azure Data Lake Storage Gen2 (ADLS Gen2).
Exposure to Azure Key Vault.
Understanding of cloud security and data governance.

Data Architecture

Understanding of Medallion Architecture.
Experience working with Bronze, Silver and Gold layers.
Good understanding of dimensional data modelling.
Understanding of scalable and reusable data-pipeline design.
Understanding of data governance and enterprise data platforms.

Good to Have

Databricks certification.
Experience with Unity Catalog.
Experience with SAP or other ERP/SaaS data sources.
REST API integration experience.
Experience with JSON and semi-structured data.
Experience with CI/CD for Databricks.
Experience supporting BI platforms such as Power BI.
Exposure to AI/ML data requirements.

Candidate Profile

We are looking for a hands-on Senior Data Engineer who can independently develop production-quality data pipelines and work effectively in an enterprise Azure Databricks environment.

Candidates should have strong problem-solving skills, good communication abilities and the ability to work with architects, engineering teams and business stakeholders.

Application

Interested candidates can share their updated CV at:

[email protected] & [email protected]

Please mention "Senior Data Engineer – Azure Databricks" in the email subject line.

Keywords: Senior Data Engineer, Azure Data Engineer, Azure Databricks, Databricks, PySpark, Python, SQL, Delta Lake, ADLS Gen2, Azure Data Lake, Databricks Workflows, Lakehouse, Medallion Architecture, ETL, ELT, Data Engineering, Data Pipeline, Unity Catalog, Azure Cloud.

Pay: ₹1,200,000.00 - ₹1,800,000.00 per year

Benefits:

Paid time off
Work from home

Work Location: Remote

Quick apply

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application support ₹15,00,000 jobs in remote

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