Associate Data Engineer
TransUnion
Pune Division, Maharashtra, IndiaFresher1h agovia LinkedIn
Role Overview
This is a hybrid position requiring regular virtual and in-person performance of job responsibilities at an assigned TU office location for a minimum of two days a week.
Key Responsibilities
- Improving the quality, accuracy, and delivery of core products.
- Building complex algorithms and providing elegant solutions to solve customer needs.
- Learning the big data environment.
- Demonstrating basic knowledge of the platform.
- Being productive and contributing to team discussions.
- Expanding knowledge of the big data environment.
- Providing innovative solutions to complex algorithms.
- Showing expertise in entity linking algorithms.
Requirements & Tech Stack
- Data Ingestion
- Data Analysis
- Data Integration
- Data Design
- Big Data Platforms: Hadoop, MongoDB, Cassandra, HPCC, Cloud Bigtable, and/or NoSQL approaches (key-values, document, or tabular stores).
- Programming Languages: Python, C++/C, PySpark, PyDoop, and/or PyScala.
- Scripting: Linux, Bash scripting, and/or PERL.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Physics, or related discipline.
- Collaboration and innovative approach to understanding customer needs.
- Ability to coordinate work responsibilities with other core technology teams.
- Willingness to learn new techniques and technologies.
- Experience with Linux, Bash scripting and/or PERL: 1+ years.
- Experience with data ingestion, data analysis, data integration, and data design: 0-1 years.
- Experience with big data platforms such as Hadoop, MongoDB, Cassandra, HPCC, Cloud Bigtable, and/or NoSQL approaches such as key-values, document, or tabular stores: 0-1 years.
- Experience utilizing Python, C++/C, PySpark, PyDoop, and/or PyScala: 0 years.