Amazon Web Services (AWS)
DockerPosition Overview: We are looking for an experienced and highly skilled Senior Data Engineer to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a customer-centric Data Engineer, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management
Key Responsibilities:
• Customer Collaboration:
– Partner with clients to gather and understand their business
requirements, translating them into actionable technical specifications.
– Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.
•Data Modeling & Integration:
– Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.
– Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.
– Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems
• Data Processing & Optimization:
– Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.
– Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.
• Data Governance & Security:
–Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).
–Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.
• Cross-Functional Collaboration:
– Work closely with data engineers, data scientists, and business
analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.
– Foster collaboration across teams to streamline data workflows and optimize solution delivery.
• Leveraging Advanced Technologies:
– Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide
smart, data-driven solutions to business challenges.
– Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.
• Cost Optimization:
–Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.
–Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.
Qualifications:
• Experience:
– Proven experience (5+ years) as a Data Engineer or similar role, designing and implementing data solutions at scale.
– Strong expertise in data modelling, data integration (ETL), and data transformation processes.
– Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Technical Skills:
– Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache
NiFi, Talend).
– Strong understanding of data security protocols, privacy regulations, and compliance requirements.
– Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).
• AI & Machine Learning Exposure:
– Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.
–Ability to apply advanced algorithms and automation techniques to improve business processes.
• Soft Skills:
– Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.
– Strong problem-solving ability with a customer-centric approach to solution design.
– Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.
• Education:
– Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).
LIFE AT FOUNTANE:
- Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
- Competitive pay
- Health insurance for spouses, kids, and parents.
- PF/ESI or equivalent
- Individual/team bonuses
- Employee stock ownership plan
- Fun/challenging variety of projects/industries
- Flexible workplace policy - remote/physical
- Flat organization - no micromanagement
- Individual contribution - set your deadlines
- Above all - culture that helps you grow exponentially!
A LITTLE BIT ABOUT THE COMPANY:
Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.
We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Fountane inc
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