
Cloud Data Architect
1 day ago
We are seeking a talented Data Engineer to join our team at Tkxel, a leading software development company based in Reston, Virginia. As a key member of our data engineering team, you will design, develop, and optimize our client data infrastructure using cloud-based technologies like Azure and AWS.
The ideal candidate will have deep expertise in cloud technologies, with experience in platforms like Azure or AWS. They should also be proficient in Apache Spark for distributed data processing and transformation, and have strong SQL skills with experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). A strong understanding of data governance, security, and compliance best practices is also essential.
Key Responsibilities:
- Design and Optimize Data Infrastructure: Collaborate with Solution Architects to design, prototype, implement, and optimize data ingestion pipelines, ensuring effective data sharing across business systems.
- ETL/ELT Pipeline Development: Build and optimize ETL/ELT pipelines and analytics solutions using a combination of cloud-based technologies, with an emphasis on Apache Spark and Databricks for large-scale data processing.
- Real-Time Data Processing: Implement and maintain real-time data streaming solutions using tools such as Apache Kafka, AWS Kinesis, or other technologies for low-latency data processing.
- Collaboration with Stakeholders: Work closely with data scientists, analysts, and business teams to align data infrastructure with strategic business objectives and goals.
Requirements:
- 5+ years of experience as a Data Engineer, with strong expertise in cloud-based data warehousing and large-scale data processing.
- Proficiency with cloud technologies, with experience in platforms like Azure or AWS.
- Hands-on experience with Apache Spark for distributed data processing and transformation.
- Strong SQL skills with experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
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