Experience:
8+ years
JOB DESCRIPTION
- Work with extremely talented peers in a competitive and fun filled environment building performance efficient, highly scalable, configurable solutions spanning multiple
technologies and platforms - Work in a Cross functional team along with other Data Engineers, QA Engineers and DevOps Engineers
- Work with Functional Analysts to understand the core functionalities of the solution and
build Data Models , Design Documents - Develop, test and implement data solutions based on finalized design documents
- Ensure adherence with Security and Compliance policies
- Stay up-to-date with evolving cloud technologies and development best-practices including open source software
- Mentor colleagues within the team
- Work in an Agile Environment
SKILLSET
- BE, BS or MS in Computer Science or related field with overall 5 Plus Years of working experience
- Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques & Data Engineering Concepts is a must
- Hands on experience in ETL process, Performance optimization techniques is a must
- Candidate should have taken part in Architecture design and discussion
- Minimum of 4 years of experience in working with batch processing/ real-time systems
using various technologies like Data bricks, HDFS, Redshift, Hadoop, Elastic MapReduce
on AWS, Apache Spark, Hive/Impala and HDFS, Pig, Kafka, Kinesis, Elasticsearch and
NoSQL databases - Minimum of 4 years of experience working in Data warehouse or Data Lake Projects in a
role beyond just Data consumption - Minimum of 2 years of extensive working knowledge in AWS building scalable solutions
- Equivalent level of experience in Azure or Google Cloud is also acceptable
- Minimum of 2 years of experience in programming languages ( preferably Python )
- Experience in Graph Databases is a good to have
- Experience in Pharma Domain will be a very Big Plus
- Familiar with tools like Git , Code Commit , Jenkins , Code Pipeline
- Familiar with Unix/Linux and Shell Scripting