CloudTech Innovations

2 Jobs

5 Employees

About the Company

Comprehensive Staffing Solutions for Specialized Engineering Roles: Software Development Engineering: We offer staffing solutions with skilled software engineers proficient in various programming languages and technologies. They are equipped to develop top-tier, scalable, and efficient software solutions that align with your project needs. Site Reliability Engineering (SRE): Our expert SRE staff specialize in ensuring the high availability and reliability of software systems. They excel in continuous integration and deployment, infrastructure management, and proactive system monitoring. DevOps Solutions: CloudTech Innovations provides highly skilled DevOps professionals, well-versed in automation, CI/CD pipelines, cloud services, and infrastructure as code. They play a crucial role in streamlining your software development lifecycle for enhanced efficiency and quicker deployments. Quality Engineering & Testing: We offer staffing for quality engineers and testers, ensuring your software is robust, secure, and performs flawlessly. They are adept in both manual and automated testing, performance testing, and security assessments. Cloud Solutions for Azure and AWS: Understanding the growing demand for cloud expertise, we provide specialized engineers with deep knowledge in Azure and AWS platforms. Our staff is proficient in cloud architecture, migration, management, and optimization, helping you leverage the full potential of cloud technology for your business. At CloudTech Innovations, we pride ourselves on offering client-centric staffing solutions that cater to a wide range of technological needs. Whether you are a small startup or a large corporation, our goal is to supply the expert personnel necessary for your success in today's tech-driven landscape. Partner with us to harness the power of technology and innovation.

Listed Jobs

Company Name: CloudTech Innovations
Job Title: Databricks Data Engineer
Job Description: Job Title: Databricks Data Engineer Role Summary: Designs and implements scalable data solutions using Databricks, Apache Spark, and cloud platforms. Builds ETL/ELT pipelines, lakehouse architectures, and data governance frameworks to support analytics and machine learning. Expectations: 5+ years of professional experience in data engineering or data platform development. Key Responsibilities: - Design and implement ETL/ELT pipelines using Databricks and Apache Spark for batch and streaming data. - Develop and maintain Delta Lake architectures to unify structured and unstructured data. - Collaborate with data architects, analysts, and data scientists to define and deliver scalable data solutions. - Implement data governance, access control, and lineage using Unity Catalog, IAM, and encryption standards. - Integrate Databricks with AWS, Azure, or GCP cloud services (e.g., S3, ADLS, BigQuery, Glue, Data Factory, Dataflow). - Automate workflows using orchestration tools such as Airflow, dbt, or native cloud schedulers. - Optimize Databricks jobs and clusters for performance, scalability, and cost efficiency. - Apply DevOps principles for CI/CD automation in data engineering workflows. - Participate in Agile ceremonies to manage risks, provide updates, and drive continuous improvement. Required Skills: - Hands-on experience with Databricks, Apache Spark, and Delta Lake. - Experience with at least one major cloud platform (AWS, Azure, GCP). - Proficiency in Python or Scala for data processing/automation. - Advanced SQL knowledge and query performance tuning. - Experience with data pipeline orchestration tools (Airflow, dbt, Step Functions). - Understanding of data governance, security, and compliance practices. - Strong communication skills. Required Education & Certifications: None specified.

Company Name: CloudTech Innovations
Job Title: Databricks Solution Architect
Job Description