Data Engineer
2 months ago
Job Description :
- (SCALA) 3+ YRS.
Role Objective :
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.
- Proficient in Spark - including RDD and Dataframes core functions, troubleshooting and performance tuning.
- Good understanding in object-oriented concepts and hands on experience on Scala or on java 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-premise 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.
EXPERTISE AND QUALIFICATIONS :
Must have Skills :
- Scala.
- Spark.
- AWS preferable/Any cloud.
- SQL (Intermediate to advanced level).
- Object-Oriented Programming.
- Good knowledge on ETL/ELT processes and tools.
Good to Have Skills :
- AWS Certification.
- Basic knowledge of streaming.
- Knowledge on hive, Hadoop, Kafka, Streaming.
- Git/similar version control tool.
- Knowledge in CI/CD, Microservices.
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