Lead Data Engineer

Location: Gurgaon, Bangalore, Delhi NCR,None,None

Company Overview:  

About us  

 We turn customer challenges into growth opportunities.  

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.  

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.  

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe  

 Job Title: Lead Data Engineer

 Location: India

 Job Type: Full-Time

 Experience Level: 6+ Years

About the Role:

As a Data Engineer at Material, you will play a crucial role in building and maintaining our advanced data infrastructure. You will be responsible for designing, implementing, and optimizing data solutions that are critical to the success of our data-driven initiatives. This role requires a deep understanding of cloud technologies, particularly AWS, and a strong foundation in data processing and workflow management tools like Airflow and PySpark.  You should be comfortable jumping into existing codebases and maintaining pre-defined coding standards and frameworks.

Key Responsibilities: 

·       Design, build, and maintain scalable and reliable data pipelines using AWS services, Airflow, and PySpark. 

·       Develop and optimize data models to support our data warehousing and analytics needs. 

·       Implement and manage continuous integration and deployment (CI/CD) pipelines for data operations using Git and Docker. 

·       Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet these needs. 

·       Lead the automation of data processes and contribute to the development of best practices in data engineering. 

·       Stay updated with emerging technologies and industry trends to continuously improve our data infrastructure. 

·       Document existing and new processes while being able to communicate advancements in pipelines and repositories. 

·       Engage in developing QA processes for API and Pipeline developments. 

Minimum Qualifications: 

·       Minimum of 6 years of experience in data engineering or a related field.

·       Strong proficiency in Python, PySpark, AWS cloud services, and Docker.

·       Expertise in designing and implementing data workflows using Airflow.

·       Experience with Git or similar version control systems.

·       Proven ability to design and implement large-scale data solutions in a cloud environment.

·       Excellent problem-solving skills and the ability to work independently or as part of a team.

·       Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.

·       Experience in working with semi-structured data.

Additional nice-to-haves: 

·       Experience in leading data engineering projects and teams.

·       Knowledge of advanced analytics and machine learning concepts.