Data Engineer

Job Summary

Every growing company needs experienced and resourceful individuals to help develop and implement growth opportunities in both existing markets and new areas. We are looking for professionals with a solid track record of creating long-term value. The ideal candidate will be a leader who knows how to leverage real data and capitalize on opportunities while they’re hot. You should also be customer-oriented with strong client-handling skills, able to identify and support business partners with innovative Data Science solutions.

As the face of the organization to clients, you will serve as the communication bridge between clients and the company, driving client-specific business planning. You will engage with clients to identify opportunities and propose win-win solutions. Leading a team of talented individuals with varied domain expertise, you will plan, design, execute, and implement innovative analytical solutions that exceed client expectations.

At Ganit, we are not just data geeks – we are a family of scientists, refiners, and artisans. Our mission is to bridge the gap between intelligence and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the boundaries of data science.

Incorporated in 2017, Ganit was founded by professionals with vast experience in consulting, analytics, marketing, merchandise, operations, and delivery. Today, we are a 150+ strong team of data scientists, analysts, and engineers making a significant impact on the business landscape.

Our company culture revolves around maximizing decision velocity and minimizing decision risk for enterprises ambitious enough to make data their voice.

More about us: www.ganitinc.com

 Design, implement, and improve the analytics platform

 Implement and simplify self -service data query and analysis capabilities of the BI platform

 Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility

 Deploy and use various big data technologies and run pilots to design low latency data architectures at scale

 Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms

• Experience:
• Minimum 3 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education:
• Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills:
• Proficiency in Spark, SQL, Python, and other relevant data processing technologies.
• Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.
• Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations.
• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).
• Soft Skills:
• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.

• Certifications:
• AWS/GCP/Azure Data Engineer Certification.