Identifying, creating, and preparing data required for analysis and visualization
Assuring that data is cleansed, mapped, transformed, and optimized for storage and use according to business and technical requirements
Automating tasks and deploying production standard code
Loading transformed data into storage and reporting structures such as data warehouses, real-time reporting systems and analytics applications
Building data models and an understanding of learning algorithms
Required Technical Skills:
Minimum 5 years of relevant experience; 7+ years of relevant experience preferred
Experience in data engineering
Experience building and optimizing 'big data' data pipelines, architectures, and data sets
Knowledge of SQL and Python/PySpark
Open mindset, ability to quickly adapt to new technologies and learn new practices
Required Functional Skills:
Communication skills
Collaboration skills
Presentation skills
Optional Skills:
Knowledge of Oracle PL/SQL, Java is a plus
Performance/security-oriented data modeling and data design, including partitions, different type of indexes, views, and most effective data management practices
Azure Synapse Analytics, Azure DevOps
Knowledge of Purview, Snowflake, Qlik, or Tableau is a plus
Education & Certifications:
Bachelor’s Degree in Data Engineering, Data Science or Computer Engineering
Company Description
Founded in 2015 and backed by two decades of hands-on experience, our strong insight on the enterprise ecosystem and its dynamics helps to offer a complete end-to-end solution. We automate recruitment processes with intelligent solutions to save time and money. Synkriom leads the industry with experience authentication of candidates.
Founded in 2015 and backed by two decades of hands-on experience, our strong insight on the enterprise ecosystem and its dynamics helps to offer a complete end-to-end solution. We automate recruitment processes with intelligent solutions to save time and money. Synkriom leads the industry with experience authentication of candidates.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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