TekRecruiter is a leading technology solutions provider specializing in staff augmentation, direct hiring, and nearshore outsourcing. They focus on empowering businesses by connecting them with top tech talent in software engineering, cloud services, and data solutions. With a commitment to excellence and diversity, TekRecruiter aims to enhance organizational growth through efficient tech team building and innovative project management.
Mulesoft β’ Java β’ salesforce β’ DevOps β’ Cloud
November 8, 2024
π€ Texas β Remote
π΅ $136k - $150k / year
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
AWS
Azure
Cassandra
Cloud
Docker
ETL
Google Cloud Platform
Hadoop
Kafka
Kubernetes
MongoDB
Node.js
NoSQL
Postgres
Python
Spark
TekRecruiter is a leading technology solutions provider specializing in staff augmentation, direct hiring, and nearshore outsourcing. They focus on empowering businesses by connecting them with top tech talent in software engineering, cloud services, and data solutions. With a commitment to excellence and diversity, TekRecruiter aims to enhance organizational growth through efficient tech team building and innovative project management.
Mulesoft β’ Java β’ salesforce β’ DevOps β’ Cloud
β’ This is a remote position. β’ We are looking for a skilled Software Engineer to join our Data Management team in Austin, TX. β’ This role offers an exciting opportunity to build tools and infrastructure for large-scale data collection, storage, and analysis that support machine learning and business operations. β’ Design, develop, and maintain scalable data management solutions and infrastructure. β’ Collaborate with cross-functional teams to define and implement effective data solutions. β’ Build and optimize ETL pipelines to streamline data ingestion, transformation, and integration from various sources. β’ Implement data governance and quality standards to ensure data integrity and compliance. β’ Develop APIs, services, and tools for data access, querying, and visualization. β’ Monitor and optimize database performance to meet scalability and performance goals. β’ Stay current with emerging technologies and best practices in data management, machine learning, and cloud computing.
β’ Proficiency in Python β’ Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka). β’ Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). β’ Experience with cloud platforms (AWS, Azure, GCP) and container orchestration tools (e.g., Kubernetes, Docker). β’ Knowledge of data modeling, schema design, and optimization techniques. β’ Excellent problem-solving skills and a collaborative mindset. β’ Experience with Agile methodologies is a plus.
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