Senior Data Engineer- Java or Python

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.

Be a Mentor for the junior members in the organization.

What do you need to bring:

5+ years of experience in the IT industry, experience in Data Technology space is preferred.

Proficiency in any programming language like Java, Python, Scala, and Spark

Working experience in any MPP systems, should have strong SQL programming skills.

Knowledge of data warehousing concepts

Working knowledge on Big Data, Streaming Integrations

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 modeling 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.

Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.

Knowledge and Working experience on Cloud platforms is highly preferred.

Desired Skills:

Knowledge in MPP Databases/ Distributed systems

Knowledge on Big data Environments and Cloud integration is a plus.

Exposure to Data Quality and Profiling tools is a plus.

Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects).

Full time