Data Engineer

at  Sigma Group

New York, New York, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 Dec, 2024USD 80000 Annual30 Sep, 20242 year(s) or abovePipelines,C++,Computer Science,Scala,Data Visualization,Data Engineering,Data Privacy,Continuous Integration,Data Modeling,Data Collection,Sql,Data Quality,Data Warehousing,Hive,Visualization,Computer Engineering,Data Governance,Etl,Business IntelligenceNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

JOB DESCRIPTION

We are seeking a highly skilled and motivated individual to join our team as a Data Engineer. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you’ll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

Responsibilities, Product Analytics:

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
  • Identify the data needed for a business problem and implement logging required to ensure the availability of 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 in a meaningful way.
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
  • Design, build, and launch new data models and visualizations in production, leveraging common development toolkits.
  • Independently design, build, and launch new data extraction, transformation, and loading processes in production, mentoring others around efficient queries.
  • Support existing processes running in production and implement optimized solutions with limited guidance.
  • Define and manage SLA for data sets in allocated areas of ownership.

BASIC QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 2+ years of work experience in data engineering
  • Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
  • Familiarity with metrics and analytics platforms, such as Scuba, Hive, and SQL, for data collection, analysis, and visualization.
  • Knowledge of continuous integration and continuous deployment (CI/CD) pipelines and related tools

Preferred:

  • 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

PREFERRED ADDITIONAL SKILLS, PERSONAL TRAITS AND EXPERIENCE

Personal characteristics:

  • Team player
  • Proactiveness in collaborating and execution.
  • Flexibility to switch technical context
  • Willingness to learn new methods/tools/processes
  • Ability to prioritize and multitask
  • Strong problem-solving and critical-thinking skill

Responsibilities:

  • Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems.
  • Identify the data needed for a business problem and implement logging required to ensure the availability of 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 in a meaningful way.
  • Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
  • Design, build, and launch new data models and visualizations in production, leveraging common development toolkits.
  • Independently design, build, and launch new data extraction, transformation, and loading processes in production, mentoring others around efficient queries.
  • Support existing processes running in production and implement optimized solutions with limited guidance.
  • Define and manage SLA for data sets in allocated areas of ownership


REQUIREMENT SUMMARY

Min:2.0Max:7.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Computer science computer engineering relevant technical field or equivalent practical experience

Proficient

1

New York, NY, USA