Staff Engineer

Roles & Responsibilities:

Purpose:

The role is of a hands-on tech lead for data engineering who could make a difference to drive digital initiatives in data and deriving insights using data analytics for product in terms of the design and architecture, and actively contribute to the development of new features. This person will be building on cloud based SaaS delivery platform and the role also demands to lead, motivate, mentor and provide ample guidance to the other team members with respect to technical challenges.

Responsibilities:

• Working collaboratively with architects, business stakeholders and bring forth expertise in data engineering to plan and execute scope to meet business goals.
• Work with team members to effectively execute, mentor them to become efficient and deliver tasks per plan.
• Provides guidance regarding design activity to other programmers on technical aspects relating to the project.
• Contribute towards system design, implementation, automated unit and integration testing, design review, code reviews, debugging and integration of code of extreme complexity across projects.
• Establishes and maintains thorough and accurate documentation of all work.
• Proactively looks for ways and patterns to continuously improve design, performance, scale and cost with measurable and tangible goals.
• Work with global team demonstrating high standards of collaboration and communications

Candidate Requirement:
Education & Experience levels:
Bachelors in Engineering/Computer Science or Master degree or equivalent with 10+ years of Experience
Skills, Knowledge and Experience:

• Hands on experience designing web-based applications in Java technologies and open to learn UI technologies
• Hands on experience in Java application development frameworks and technologies: Spring, Core Java (collections, generics, multi-threading etc.)
• Hands on experience with Hadoop Ecosystem, should have knowledge working on HDFS, Hive, Spark
• Has experience working on different tiers of data pipeline and knows to design high-performance, scalable and secure data lake.
• Has knowledge about AI/ML and can demonstrate understanding of Neural Networks, Tensorflow, Keras and basic of statistics.
• Demonstrate expertise in SQL/NoSQL databases.
• Has experience with AWS services like EC2, Lambda, S3, SNS, SQS, DynamoDB, SageMaker e.t.c
• Solid design and programming experience and very strong in programming disciplines like object oriented principles, design patterns, data structures and unit testing
• Experience in conducting performance analysis
• Excellent communication and interpersonal skills
• Ability to work effectively with dispersed, remote and global teams when needed.
• Having a wide range of experience and understanding of trends and technologies, uses technical knowledge to resolve complex issues in creative and effective ways
• Inclination and ability to actively coach and mentor team members.

Preferred Skills and Experience:

• Experience with Web Services: SOAP Request/Response handling, authentication, REST APIs
• Knowledge of AWS Analytics services like AWS QuickSight, Glue e.t.c
• Experience with Python programming language
• Experience with Docker, Kubernetes and DevOps best practices.
• Experience in designing large-scale, highly available distributed software.