Lead Data Engineer

Staples India; Chennai District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Staples India is seeking a skilled Data Engineering Specialist to design and implement data solutions supporting Marketing, Sales, and Customer Service. You will work with Snowflake, SQL, DBT, Python, and cloud platforms to develop scalable data architectures that enable personalized experiences and advanced analytics.

The role emphasizes real-time and batch data integration, data profiling and cleansing, and collaboration with cross-functional teams to prioritize projects and deliver

Qualifications

• Experience with data warehousing, data modelling, Snowflake, DBT, SQL, Azure/AWS/GCP.
• Strong foundation in cloud platforms for large-scale data processing.
• Hands-on experience with data profiling, validation and cleansing.

Responsibilities

• Implement and maintain data warehousing solutions to handle analytics needs.
• Optimize data pipelines using DBT for transformation and modelling processes.
• Collaborate with cross-functional teams to deliver scalable data architectures.

Skills

Data Warehousing

Data Modelling

SQL

Cloud Platforms

ETL/ELT

Python programming

Data profiling

Data cleansing

Real-time data integration

Batch processing

Tools

Snowflake

DBT

Python

Azure Databricks

Job description

Staples India Business Innovation Hub Private Limited | Permanent

Candidates should be with Data warehousing, Data Modelling, Snowflake, DBT, SQL, Azure Databricks, Python (Good to Have)

Looking for a skilledDataEngineering Specialistto design and implement datasolutions supportingMarketing, Sales, and Customer Serviceareas. The ideal candidate will have experience withSnowflake, SQL, DBT, Python or anyDatamodelling tools andAzure/AWS/GCP, along with a strong foundation ofCloud Platforms. You will be responsible for developing scalable, efficient dataarchitectures that enable personalized customer experiences and advanced analytics.

Roles and Responsibility:

• Implement and maintaindatawarehousingsolutions inSnowflaketo handle large-scale dataprocessing and analytics needs.
  
• Optimize workflows usingDBTto streamlinedatatransformation and modeling processes.
  
• Optimize workflows using anydatamodelling tools to streamline datatransformation and modeling processes.
  
• Strong expertise inSQLwith hands-on experience in querying, transforming, and analyzing large datasets.
  
• Good experience inPythonprogramming
  
• Expertise withcloud dataplatformsfor large-scale dataprocessing.
  
• Solid understanding of dataprofiling, validation, and cleansing techniques.
  
• Support bothreal-timeandbatch dataintegration, ensuring datais accessible for actionable insights and decision-making.
  
• Strong understanding ofdatamodeling,ETL/ELT processes, and modern dataarchitecture frameworks.
  
• Hands-on experience withPythonfor dataengineering tasks and scripting.
  
• Collaborate with cross-functional teams to identify and prioritize project requirements.
  
• Develop and maintain large-scale datawarehouses on Snowflake.
  
• Optimize database performance and ensure dataquality.
  
• Troubleshoot and resolve technical issues related to dataprocessing and analysis.
  
• Participate in code reviews and contribute to improving overall code quality.
  

Requirements

JobRequirements:

• Strong understanding of datamodeling and ETL concepts.
  
• Experience with Snowflake and DanyDataModelling is highly desirable.
  
• Optimize workflows usingDBTto streamlinedatatransformation and modeling processes.
  
• Strong expertise inSQLwith hands-on experience in querying, transforming, and analyzing large datasets.
  
• Expertise withcloud dataplatforms(Azure preferred) andBig Datatechnologies for large-scale dataprocessing.
  
• Excellent problem-solving skills and attention to detail.
  
• Ability to work collaboratively in a team environment.
  
• Strong communication and interpersonal skills.
  
• Familiarity with agile development methodologies.