Senior Data Engineer

Are you passionate about entering the world of data engineering? Do you relish the prospect of working with cutting-edge technologies, particularly in the realm of Big Data Technologies? Take a thorough look at the job description and reach out to us if you believe you would be an excellent fit.

Responsibilities:

• Construct and sustain robust and scalable data integration, Data Ingestion, and Distributed Data Processing Pipelines.
• Collaborate closely with Data Scientists, Software Engineers, Product Managers, Product Analysts, and other stakeholders to gather and define data requirements for Integrate diverse data needs.
• Implementing and delivering modules on time with uncompromising quality. Your focus will be on making it work first and then continuously improving and optimizing it.
• Develop a deep understanding of the data and cultivate business acumen.
• Create, manage, and evolve Data Warehouse and Pipelines
• Comprehend business use cases and customer value within extensive datasets, delivering meaningful analytic solutions.
• Optimize and fine-tune existing data pipelines and architectures for enhanced efficiency.
• Collaborate with cross-functional teams to comprehensively understand and address data requirements.
• Apply coding skills to implement effective data solutions.
• Continually learning the advancements in technology and being updated with the recent Trends.
• Taking ownership and being accountable for the outcomes of your work. You should be adaptable and ready to iterate or pivot when needed.
• Cultivating a positive work environment and actively engaging with colleagues and managers to enhance the quality of work.
• Learning from the reviews and inputs from the peers and giving whatever you learned back to the team.
• Producing a proof of concept in a period to demonstrate a minimal viable product/feature.

Requirements:

• 4+ years of experience in Data Engineering.
• Proficient in any programming language, showcasing expertise in writing clean, maintainable, and efficient code.
• Understanding in cloud-native technologies and data processing concepts.
• Knowledge of Big Data/Data processing tools and concepts.
• Knowledge in messaging systems for real-time data processing.