Walk-in | Data Engineer(DataBricks)

Coventine Digital; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Coventine Digital in Bengaluru seeks a Senior Data Engineer with Databricks expertise to lead design of large-scale data infrastructure on Azure. You will translate E2E requirements into scalable ETL/ELT pipelines and optimize costs in Databricks and Data Lake.

Responsibilities include governance, data quality, mentoring global teams, and delivering secure data solutions across the data platform.

Qualifications

• 6+ years of Databricks experience (important)
• Strong PySpark and Python development
• Azure Cloud services and data storage components
• Experience building scalable data pipelines and ETL/ELT
• SQL and performance tuning expertise
• Good communication and stakeholder management

Responsibilities

• Lead design and architecture of large-scale data infrastructure and pipelines (Data Lakehouse)
• Transform business requirements into automated, secure data solutions (ETL/ELT) in Azure
• Optimize data storage and compute costs across Databricks clusters and Data Lake
• Troubleshoot production pipeline failures and data quality issues
• Drive data governance and pipeline reliability best practices
• Mentor and coordinate with global teams (data scientists, analysts, operations)

Skills

Databricks

PySpark

Python

Azure

Data pipelines

SQL tuning

Data Warehouse

Stakeholder mgmt

ETL/ELT

Tools

Azure Cloud

Job description

Hello ,

Position : Data Engineer with Databricks

Experience : 9+years

location ; Banglore

mode of interview : F2F on Wednesday & Thursday September 23rd & 24th

• Mode of Hiring: Third-party payroll / Contract to Hire (C2H)
• Mode of Working: Full-time, Work from Office

JD:- Senior Data Engineer (Azure Databricks)

Required Skills:

• 6+ years of experience in Databricks(important)
• can work with onsite team to colobrate and understand the E2E requirement
• Strong PySpark and Python development experience
• Azure Cloud Services (ADF, ADLS, Azure Blob Storage, Key Vault, etc.)
• Experience with data ingestion, connectors, and integration frameworks
• SQL and performance tuning expertise
• Experience building scalable data pipelines
• Good communication and stakeholder management skills
• Knowledge about data architect and DWH concept these are primary point

Responsibilities:

• Lead design and architecture of large-scale data infrastructure and pipelines (Data Lakehouse).
• Transform complex business requirements into automated, secure data solutions (ETL/ELT) primarily in Azure.
• Optimize data storage and compute costs across Databricks clusters and Data Lake.
• Troubleshoot and resolve production pipeline failures and data quality issues.
• Drive best practices in data governance, security, and pipeline reliability.
• Mentor and coordinate with global teams (data scientists, analysts, operations).