Senior Data Engineer

Senior Data Engineer - Databricks

Location: Gurugram,Haryana,India

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 

JD_Senior Data Engineer:-

Senior/Lead Data Engineer - Databricks We are seeking a highly skilled and experienced Data Engineering Lead with a strong background in the retail domain and exceptional programming abilities. As a Lead, you will play a pivotal role in implementing, and optimizing data architecture to support our retail business operations and analytics initiatives. Your expertise in Spark programming, optimization techniques, and familiarity with Databricks and CI/CD practices will be instrumental in ensuring the efficient and effective management of our data ecosystem. 

Responsibilities:- 

• Design and develop data models, data integration processes, and data pipelines to capture, transform, and load structured and unstructured data from various retail sources. 
• Hands-on programming in Spark to develop and optimize data processing applications and analytics workflows. 
• Apply optimization techniques to enhance the performance and efficiency of data processing and analytical tasks. 
• Evaluate and implement appropriate tools and technologies, including Databricks, to streamline data operations and ensure scalability and reliability. 
• Work closely with other team members to ensure data integrity, consistency, and accessibility across the organization. 
• Define and enforce best practices for data governance and data management, including data quality, metadata management, and data security. 
• Collaborate with DevOps teams to establish and maintain CI/CD pipelines for data engineering and analytics workflows. 
• Peer Review of team members' deliverables 
• Stay updated with the latest advancements and trends in the retail domain, data architecture, and programming languages to drive continuous improvement. 

Requirements:- 

• At least 5+ years of experience in the data engineering domain. 
• Proven experience as a senior Data Engineer /Lead, preferably within the retail industry. 
• Strong programming skills with expertise in PySpark programming and optimization techniques. 
• Hands-on experience with Databricks, Deltalake and its components for data processing and analytics. 
• Hands-on experience in data modelling, data integration, and ETL/ELT processes. 
• Experience in working with Gitlab pipelines and an in-depth understanding of CI/CD pipeline designs. 
• Experience with data governance, data quality, and metadata management. 
• Strong analytical and problem-solving abilities with a detail-oriented mindset. 
• Excellent communication and collaboration skills to work effectively with cross-functional teams. 
• Ability to adapt to a fast-paced and evolving environment while managing multiple priorities. 
• Good to have experience in at least one of the Cloud Vendor (AWS / Azure / GCP) 
• Good to have experience with streaming technologies as well

What We Offer 

•   Professional Development and Mentorship.
•   Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
•   Health and Family Insurance.
•   40+ Leaves per year along with maternity & paternity leaves.
•   Wellness, meditation and Counselling sessions.

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Experience Level

Senior Level