Senior Big data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proficiency in Scala or Java programming and object-oriented concepts., Experience with Spark architecture, RDD, Dataframes, and performance tuning., Strong SQL skills for writing complex queries., Knowledge of AWS cloud services like DynamoDB, RedShift, and S3, with cloud monitoring experience..

Key responsibilities:

  • Design, develop, and deliver large-scale data solutions using Spark and AWS services.
  • Manage and mentor team members, ensuring project utilization and onboarding.
  • Understand client requirements to create tailored data solutions from scratch.
  • Lead client communications, manage project timelines, and facilitate team meetings.

Relic Consultancy Services logo
Relic Consultancy Services https://www.relicconsultancyservices.com/
11 - 50 Employees
See all jobs

Job description

Experience: 312 years
LOCATION: REMOTE
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 objectoriented concepts and hands on experience on Scala or on java with excellent programming logic and technique
· Good in functional programming and OOPS concept either on Scala or Java
· 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, rearchitecting, and replatforming onpremise 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

Qualifications
ScalaJava
• Spark
• AWS preferableAny cloud
• SQL (Intermediate to advanced level)
• ObjectOriented Programming
• Good knowledge on ETLELT processes and tools

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Team Management
  • Communication
  • Problem Solving
  • Analytical Skills

Data Engineer Related jobs