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Lead Data Engineer VIII Big Data | Fortune 500 Consulting Company | 8 10 years

  • 8-10 years
  • Not Disclosed

Job Description

WHAT ARE WE LOOKING FOR
Fortune 500 Consulting Company is hiring and this is a great opportunity for candidates to work with Fortune500 companies. We are looking at associating employees with Fortune 500 Consulting Company permanently, while they work on projects given by Fortune500 companies. If you think you have what it takes, apply now!
WHAT WILL YOU WORK ON
· Design and build reusable components, frameworks and libraries at scale to support analytics data products
· Design and implement product features in collaboration with business and Technology stakeholders
· Anticipate, identify and solve issues concerning data management to improve data quality
· Clean, prepare and optimize data at scale for ingestion and consumption
· Drive the implementation of new data management projects and re structure of the current data architecture
· Implement complex automated workflows and routines using workflow scheduling tools
· Build continuous integration, test driven development and production deployment frameworks
· Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
· Analyze and profile data for the purpose of designing scalable solutions
· Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
· Mentor and develop other data engineers in adopting best practices
WHO WILL YOU WORK WITH
· Work with product management to understand business requirements
· Work with Engineering leadership and architecture teams to align on design, architecture and enterprise strategy
WHAT YOU BRING
· 8+ Years experience of building big data solutions
· Advanced experience building cloud scalable, real time and high performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark
· Experience working in an agile and iterative landscape
· Experience with relational SQL
· Experience with scripting languages such as Shell, Python
· Experience with source control tools such as GitHub and related dev process
· Experience with workflow scheduling toolslike Airflow
· In depth understanding of micro service architecture
· Strong understanding of developing complex data solutions
· Experience working on end to end solution design
· Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
· Willing to learn new skills and technologies
· Have a passion for data solutions
· 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


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