Senior Big Data Engineer

AWS, Spark, Hive, SQL, Microservices, Python
Contract W2, 12 Months
Depends on Experience

Job Description

ServerLogic have an immediate opening for 2 Sr Big Data Engineers. They will design and build reusable components, frameworks and libraries at scale to support analytics products. Design and implement product features in collaboration with business and Technology stakeholders

Note: This job is not open to C2C or 3rd party candidates.

  • Identify and solve issues concerning data management to improve data quality

  • Clean, prepare and optimize data for ingestion and consumption

  • Collaborate on the implementation of new data management projects and re-structure of the

    current data architecture

  • Implement automated workflows and routines using workflow scheduling tools

  • Build continuous integration, test-driven development and production deployment frameworks

  • Collaboratively review design, code, test plans and dataset implementation performed by other

    data engineers in support of maintaining data engineering standards

  • Analyze and profile data for designing scalable solutions

  • Troubleshoot data issues and perform root cause analysis to proactively resolve product

Experience:

  • Strong understanding of data structures and algorithms

  • Strong understanding of solution and technical design

  • Has a strong problem solving and analytical mindset

  • Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

  • Able to quickly pick up new programming languages, technologies, and frameworks

  • Advanced experience building cloud scalable, real time and high- performance data lake solutions

  • Experience with relational SQL

  • Experience with scripting languages such as Shell, Python

  • Experience with source control tools such as GitHub and related dev processes

  • Experience with workflow scheduling tools

  • In-depth understanding of micro service architecture

  • Strong understanding of developing complex data solutions

  • Experience working on end-to-end solution design

Dice Id : 10433716
Position Id : 5554
Originally Posted : 4 months ago
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