Data Engineer (Junior / Mid / Senior)
Siri InfoSolutions Inc
Columbus, United States of America
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Columbus, United States of America
Tech stack
Cloud Computing
Data Architecture
Information Engineering
Data Governance
ETL
Data Transformation
Graph Database
Python
Meta-Data Management
Neo4j
Standard Sql
SQL Databases
Cloud Platform System
Data Ingestion
Snowflake
Data Lake
PySpark
Data Management
Cloud Integration
REST
Data Pipelines
Job description
We are looking for passionate Data Engineers across multiple experience levels to design, build, optimize, and maintain scalable data platforms and pipelines. You will work with modern cloud technologies, primarily Snowflake, Python, SQL, and ETL/ELT frameworks, to enable high-quality, reliable, and business-ready data products. Senior engineers will also provide technical leadership, architect enterprise data solutions, collaborate with stakeholders, and mentor engineering teams., Common Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Develop and optimize SQL queries and data transformation workflows.
- Build and support data ingestion pipelines from multiple data sources.
- Implement data quality, validation, and monitoring processes.
- Develop solutions using Snowflake and cloud-based data platforms.
- Collaborate with business, analytics, and engineering teams.
- Participate in Agile ceremonies and contribute to continuous improvement.
- Troubleshoot production issues and optimize pipeline performance.
Mid-Level Responsibilities (5 7 Years)
- Build robust data pipelines using Python/PySpark.
- Develop curated datasets for analytics and reporting.
- Integrate REST APIs and external data sources.
- Support metadata onboarding and governance initiatives.
- Improve pipeline scalability, automation, and performance.
Senior-Level Responsibilities (8 10 Years)
- Architect enterprise-scale Data Lake and Data Product solutions.
- Lead Snowflake platform design and optimization initiatives.
- Drive metadata management and data governance strategies.
- Work with Knowledge Graph concepts (Neo4j) where applicable.
- Define best practices for data engineering, security, and scalability.
- Mentor junior engineers and provide technical leadership.
- Collaborate with business stakeholders to translate requirements into technical solutions., Description: A Level 5 Switchgear Field Engineer leads complex field service activities for medium- and high-voltage switchgear systems, serving as a technical authority on insta…
- 1 day ago
Requirements
- Data Engineer: 3 5 Years
- Data Engineer: 5 7 Years
- Senior Data Engineer: 8 10 Years, Data Engineering
- SQL
- Snowflake
- Python
- PySpark
- ETL/ELT Development
- Data Pipeline Design & Development
- Data Ingestion & Transformation
- Data Quality & Validation
Cloud & Integration
- REST API Integration
- Data Curation
- Metadata Management
- Data Lake Architecture
- Data Product Development
Senior-Level Preferred Skills
- Knowledge Graph Concepts (Neo4j)
- Enterprise Data Architecture
- Technical Leadership
- Stakeholder Management
- Solution Design & Architecture