Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Internship, Entry Level & New GradExperience Level
InternshipJob Type
UnknownVisa
TechnologyIndustries
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or a related field
- Strong understanding of Python and SQL for data manipulation and automation
- Familiarity with cloud technologies (AWS, GCP, or Azure) and data pipeline concepts
- Knowledge of data warehousing and ETL processes
- Enthusiastic about learning new technologies, solving problems, and collaborating in a team environment
- Excellent communication skills and a proactive, detail-oriented mindset
- (Nice to have) Experience with Docker or containerization
- (Nice to have) Familiarity with NoSQL databases (e.g., MongoDB, Elasticsearch)
- (Nice to have) Interest or prior exposure to the retail or analytics industry
- (Nice to have) Experience working with large-scale data processing tools like Apache Spark
- (Nice to have) Exposure to tools such as Databricks, Airflow, or Hadoop
Responsibilities
- Collaborate with Data Engineers, Analysts, and Product Managers to design and implement end-to-end, cloud-based data solutions
- Assist in developing and maintaining ETL pipelines using modern data engineering tools and best practices
- Support the creation of reliable, scalable, and secure data workflows across cloud environments (AWS, GCP, or Azure)
- Contribute to data quality, reliability, and automation initiatives to enhance existing processes
- Participate in source control, testing, and CI/CD practices to support agile data delivery
- Engage in team meetings, sprint reviews, and design discussions to gain exposure to the full data lifecycle
Skills
Python
SQL
AWS
GCP
Azure
Databricks
Airflow
Hadoop
ETL
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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