Data Engineer
at Sigma Group
New York, New York, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Dec, 2024 | USD 80000 Annual | 30 Sep, 2024 | 2 year(s) or above | Pipelines,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 Intelligence | No | No |
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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