Big Data Engineer
7 giorni fa
About Company: Affine is a global leader in professional services and solutions at the forefront of AI data engineering and cloud technologies. With our distributed team of over 500 analytics professionals across North America Europe and Asia we are dedicated to enabling global enterprises to transform and innovate through the power of AI (Artificial Intelligence) data engineering and cloud technologies.
Job Description 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 selfdirected 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 of objectoriented 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 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. (preferred)
- Hands on experience utilizing AWS Management Tools (CloudWatch CloudTrail) to proactively monitor large and complex deployments (preferred)
- Experience in analyzing rearchitecting and replatforming onpremises data warehouses to data platforms on AWS (preferred)
- 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 a regular basis.
- Understand business requirements 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
Must have Skills:
- Scala
- Spark
- AWS preferable/Any cloud
- SQL (Intermediate to advanced level)
- ObjectOriented Programming
- Good knowledge on ETL/ELT processes and tools
- AWS Certification
- Basic knowledge of streaming
- Knowledge on hive Hadoop Kafka Streaming
- Git/similar version control tool
- Knowledge in CI/CD Microservices
hadoop,sql,scala,spark,aws,data engineering,spark architecture,aws certification,object-oriented programming,aws cloud experience,flag off any delays,cloud,big data
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