Data Technology Lead : Spark

Summary:

This role will be responsible for Leading a team for development, and maintenance of Spark, Hadoop and Hive applications.

The ideal candidate should have:

· Strong technology delivery experience with Spark, Python, Hive, Hadoop, and the Hadoop ecosystem. They will also be familiar with data modeling, data wrangling, and data analysis.

· Experience with both SAS and Python and will be able to work lead a team.

Responsibilities:

· Team Lead, develop, and maintain Pyspark and Hive applications.

· Work with data scientists and analysts to build data pipelines and data models.

· Optimize Pyspark and Hive queries for performance.

· Troubleshoot and debug Pyspark and Hive applications.

· Migrate SAS code to Python , deliver new Python applications.

· Document the migrated code.

· Work with other engineers to ensure the smooth transition to Python

Qualifications:

· Bachelor's degree in computer science, data science, or a related field

· Experience with Spark, Python, SAS, Hive, Hadoop, and the Hadoop ecosystem

· Experience with data modeling, data wrangling, and data analysis

· Experience with cloud computing platforms (e.g., AWS, Azure, GCP)

· Strong problem-solving and analytical skills

· Excellent communication and teamwork skills

· Strong delivery skills, experience with data migration

We offer great opportunities within a dynamically growing consultancy. At Infosys Consulting you will discover a truly global culture, highly dedicated and motivated colleagues, a co-operative work environment and enriching training opportunities