Workplace type: Remote
Must Have Skills: OOP, ETL/ELT, Hive, SFDC, Scala, CI/CD, Kafka/Kinesis, Spark, Spark Streaming, AWS, SQL
Experience Level: 5 - 8 Years
Role Objective
Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
Roles & Responsibilities:
- Sound knowledge in Spark architecture and distributed computing and Spark streaming.
- Proficient in Spark including RDD and Data frames core functions, troubleshooting and performance tuning.
- SFDC(Data modelling experience) would be given preference
- Good understanding in object-oriented concepts and hands on experience on Scala with excellent programming logic and technique.
- Good in functional programming and OOPS concept on Scala
- Good experience in SQL should be able to write complex queries.
- Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.
- Able to mentor new members for onboarding to the project.
- Understand the client requirement and able to design, develop from scratch and deliver.
- AWS cloud experience would be preferable.
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (prefered)
- Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (prefered)
- Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (prefered)
- Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.
- Managing project timing, client expectations and meeting deadlines.
- Should have played project and team management roles.
- Facilitate meetings within the team on regular basis.
- Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.
- Optimization, maintenance, and support of pipelines.
- Strong analytical and logical skills.
- Ability to comfortably tackling new challenges and learn
