Product Engineer - Data Engineering Analytics

Key Skills

Apache Airflow, API, AWS, Azure, C# Programming, Effective communication skills, Java Programming, Kubernetes-K8s, Luigi, MongoDB, MySQL, Oracle, Product Analytics, Python Programming, Spark Core, SQL, Teamwork

Job Description

Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are looking for a driven individual to join our team of technology specialists to create next generation of application and products. As a product engineer, you will be building enterprise grade scalable product and applications. This is a hands-on role where you will need to demonstrate skills, experience, and confidence to work closely with cross-functional teams to translate high-level roadmap vision into feasible feature specifications and deliverables

Requirements

• 10+ years of hands-on experience in the Data Analytics space.
• 5+ years of experience working as a Data Engineer-Product with expertise in programming languages like Python.
• Experience in collaborating with business / IT stakeholders and product managers to ideate software solutions and build enterprise scale product and applications and products
• Knowledge of multiple back-end languages (e.g. Python, C#, Java).
• A strong API development background with an understanding of developing external facing APIs to be used by customers and their products
• Experience with databases e.g. SQL, Oracle, MySQL, MongoDB), web servers (e.g. Apache).
• Product development experience along with hands on expertise in API calls, lambda function, glue workflow, etc.
• Building functions and data pipelines in Python and Spark to add to data products.
• Write technical & design documents.
• Object-oriented analysis and design using common design patterns.
• Knowledge of cloud applications, Software as a Service (SaaS), Platform as a Service (PaaS) using at least one of the following platforms: AWS preferred, Azure, GCP, Kubernetes is a big plus.
• Experience with orchestration tool such as Airflow, Luigi or Oozie.
• Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
• Excellent communication and teamwork skills.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.