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Senior Data Engineer

MethodNew York, New York, United StatesOnsite
This job is no longer open

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Bengaluru, and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.
Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.Your role is to collaborate with multidisciplinary individuals and support the project lead on data strategy and implementation projects. You will be responsible for data and systems assessment, identifying the critical data and quality gaps required for the effective decision support and contributing towards the data platform modernization roadmap. 

Responsibilities:


  • Work closely with data scientists, data architects, business analysts, and other disciplines to understand data requirements and deliver accurate data solutions.
  • Analyze and document existing data system processes to identify opportunities for improvement.
  • Develop detailed process maps that describe data flow and integration across multiple systems.
  • Create a catalog of data fields and data structures across various databases and systems.
  • Compare data fields and structures to identify inconsistencies and discrepancies
  • Contribute towards gap analysis and recommend solutions for standardizing data fields and structures.
  • Recommend data directories to organize and manage data assets effectively.
  • Propose data standards and best practices.

Qualifications:


Technical skills

  • Proven experience (5+ years) in data engineering, data analysis, or a similar role.
  • Proficiency in database management systems (e.g., SQL, NoSQL databases).
  • Experience with data warehousing and ETL (Extract, Transform, Load) processes.
  • Experience working with cloud data platforms such as Azure, AWS.
  • Knowledge of data modeling, data architecture, and data integration techniques.
  • Familiarity with data cataloging tools and techniques.
  • Understanding of data quality principles and experience with data quality tools.
  • Programming skills in languages such as Python
  • Experience with data visualization tools (e.g., Tableau, Power BI) (desired)

Analytical skills 

  • Ability to analyze complex data sets and translate findings into actionable insights.
  • Strong problem-solving skills with attention to detail.
  • Experience in process mapping and optimization.
  • Understanding of data governance frameworks and practices.
  • Excellent verbal/written communication and presentation skills, with the ability to successfully articulate your work and its intent to your team and your client
  • A unique point of view. You are trusted to question approaches, processes, and strategy to better serve your team.

Location

  • New York city or its vicinity, you will require to travel to the client office based in New York City up to 3 days per week.

Why Method?


We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.We believe in work/life balance.

Seriously. We offer a ton of competitive perks, including:

  • Continuing education opportunities 
  • Flexible PTO and work-from-home policies 
  • 401K matching
  • Health, Dental and Vision benefits, starting on day 1
  • Company lunches, company outings, along with a lot of snacks 
  • Health and wellness programs 
  • Other location specific perks (just ask!)

Next Steps


If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.* For information on how we process your personal data please see Privacy.* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

New York City Applicants


(New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from

$138k


 to

$186k


. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

This job is no longer open

Life at Method

We have helped 75 businesses and organizations achieve their goals through innovative branding and communications,intelligent information design,and a user centered approach to product and service development.
Thrive Here & What We Value1. Curiosity & adaptability in a changing world2. Collaboration with diverse teams3. Value of listening, critique, and dissonance4. Proactive leadership at all levels5. Emphasis on work/life balance6. Competitive perks (education opportunities, flexible PTO, etc.)
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