Job description

The candidate will be responsible for analysis, design, coding, and testing of the Data applications and ETL Engg. The candidate may have to interact with global cross-functional teams to address complex business requirements. The role demands the individual to the technical skills required to perform the job in an effective manner. The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple projects at the same time. The candidate should have passion for data & analytics.

In this role, the individual will be part of the Data engineering team and will be responsible for.
•    Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
•    Planning the execution of the project in an effective and efficient manner.
•    Approaching the problem, taking into account all possibilities and options.
•    Creativity and out of the box thinking is required.
•    Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.
•    Being flexible and being able to support all functions of product life cycle when required.
•    Ability to work in a fast-paced environment.
•    Ability to deliver from coarse grained requirements.

What do you need to bring-

•    Knowledge in any programming language like Java, Python and Scala
•    Knowledge of Hadoop, Spark is highly preferred.
•    Working experience in any MPP systems, should have strong SQL programming skills.
•    Knowledge of data warehousing concepts
•    Excellent written and oral communication skills
•    Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
•    Expertise in database programming and performance tuning techniques
•    Familiar with data movement techniques and best practices to handle large volumes of data.
•    Experience with data warehousing architecture and data modelling best practices
•    Experience with File Systems, server architectures, and distributed systems
•    Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.
•    Working experience in an Agile methodology is highly preferred.