Data Architect
2 weeks ago
At Get Glowing, we're seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the infrastructure that enables our organization to leverage data effectively.
Key Responsibilities- Data Collection and Integration
Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
Data Storage and ManagementOnce the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
ETL (Extract, Transform, Load) ProcessesETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
Big Data TechnologiesIn today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
NoSQL DatabasesIn addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.
Cloud ComputingCloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
Distributed SystemsData engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers.
Requirements- Programming
Proficiency in programming languages such as Python, Java, or C++.
Data ArchitectureStrong understanding of data architecture and design patterns.
Knowledge of NoSQL DatabasesExperience working with NoSQL databases such as MongoDB and Cassandra.
Cloud ComputingKnowledge of cloud platforms such as AWS, Azure, and Google Cloud.
Benefits- Medical/Prescription Insurance
- 401-K
- Flexible Spending Account
- Paid Time Off
- Sick Days
- Bereavement
- Perfect Attendance
- Jury Duty
- Worker's Compensation
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