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Data Engineer (Product Analytics)

Remote: 
Full Remote
Contract: 
Salary: 
81 - 100K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in relevant field, 5+ years in data warehouse space, 5+ years in ETL design and implementation, 7+ years in schema design and modeling, Experience with SQL statements.

Key responsabilities:

  • Conceptualize and own data architecture for projects
  • Collaborate with teams to understand data needs
  • Define and manage SLA for data sets
  • Design data models and visualizations
  • Optimize existing processes and pipelines
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Infraveo Technologies Scaleup https://www.infraveo.com/
51 - 200 Employees
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Job description

We are seeking Data engineers to work cross-functionally with software engineering, data science, and product management to optimize growth, strategy.


Responsibilities:

  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit trade-offs within systems.
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
  • Define and manage SLA for all data sets in allocated areas of ownership.
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
  • Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
  • Influence product and cross-functional teams to identify data opportunities to drive impact.
  • Mentor team members by giving/receiving actionable feedback.


Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 5+ years experience in the data warehouse space.
  • 5+ years experience in custom ETL design, implementation and maintenance.
  • 5+ years experience with object-oriented programming languages.
  • 7+ years experience with schema design and dimensional data modeling.
  • 7+ years experience in writing SQL statements.
  • Experience analyzing data to identify gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.


Preferred Qualifications:

  • Master's or Ph.D degree in a STEM field
  • Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
  • Experience working with terabyte to petabyte scale data
  • Experience influencing product decisions with data.


Benefits:

  • Work Location: Remote
  • 5 days working



Salary

81000 - 100000 INR (Per Month)


Required profile

Experience

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

Other Skills

  • Mentorship
  • Problem Solving
  • Communication
  • Collaboration

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