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Data Engineer I Python | US Fortune 500 Consulting Firm | 3 5 years

  • 3-5 years
  • Not Disclosed

Job Description

WHAT ARE WE LOOKING FOR
US Fortune 500 Consulting Firm is hiring and this is a great opportunity for candidates to work with Fortune500 companies. We are looking at associating employees with US Fortune 500 Consulting Firm permanently, while they work on projects given by Fortune500 companies. If you think you have what it takes, apply now!
WHAT YOU WILL WORK ON
· Design and building simple (non complex) reusable components of larger process or framework to support analytics products with guidance from experienced peers
· 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
· Support the implementation of new data management projects and re structure of the current data architecture
· Implement automated workflows and routines using workflow scheduling tools
· Understand and use continuous integration, test driven development and production deployment frameworks
· Participate in 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 straightforward data issues and perform root cause analysis to proactively resolve product issues
WHO YOU WILL WORK WITH
You will be working with diverse team of smart, intelligent and creative people. We embrace and celebrate unique talent and experience of our teammates.
In this role you’ll be reporting to an Engineering manager, you will work with Product Manager, other Engineering Team Members and with a variety of talented teammates. You will be part of team that will be a driving force in building Data and Analytic solutions for Technology.
WHAT YOU BRING
3+ years’ experience developing Data & Analytic solutions
Experience building data lake solutions leveraging one or more of following AWS, EMR,S3, Hive & Spark
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 tools such as Airflow
In depth knowledge of scalable cloud
Has 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
Experience working with Agile Teams.
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
Bachelor’s Degree in computer science