Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with ... to Databricks including authentication, rewiring of connections, building new libraries, and ...
Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with ... to Databricks including authentication, rewiring of connections, building new libraries, and ...
Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...
Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...
Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...
Remote About the Role: Greenfield is looking for a Commercial Analytics Senior Manager to join our ... Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and ...
Collaborate with data engineering and product teams to ensure scalable and interpretable solutions ... Experience working with large datasets using platforms such as Databricks or Spark * Ability to ...
Collaborate with data engineering and product teams to ensure scalable and interpretable solutions ... Experience working with large datasets using platforms such as Databricks or Spark * Ability to ...
Remote Databricks Developer information
What are the key skills and qualifications needed to thrive as a Remote Databricks Developer, and why are they important?
To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.
How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?
Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.
What is a Remote Databricks Developer?
A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What is the difference between Remote Databricks Developer vs Data Engineer?
| Aspect | Remote Databricks Developer | Data Engineer |
|---|---|---|
| Required Skills | Proficiency in Databricks, Spark, Python, SQL | Proficiency in data pipelines, ETL, cloud platforms, SQL |
| Work Environment | Collaborates on data projects using Databricks platform | Builds and maintains data infrastructure across cloud environments |
| Certifications | Databricks certifications often preferred | Cloud certifications (AWS, Azure), data engineering certifications |
While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.
What are popular job titles related to Remote Databricks Developer jobs in Waterbury, CT? For Remote Databricks Developer jobs in Waterbury, CT, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Waterbury, CT look for? The top searched job categories for Remote Databricks Developer jobs in Waterbury, CT are:
Full-time
Posted 18 days ago
Job description
Full Stack Developer - Remote - 1 year contract We are seeking a full stack engineer/developer with experience in projects emphasizing big data and application migration. This person will be responsible for supporting our customers migration of hundreds of applications to Databricks including authentication, rewiring of connections, building new libraries, and adapting notebooks and code. Work with the Business Intelligence team and operational stakeholders to design and implement migration strategy of read only and transaction applications to Databricks Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes Design and develop database objects, tables, stored procedures, views, etc.
as needed Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server) Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement. Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end Manage multiple projects, responsibilities and competing priorities. Experience Needed: Programming languages such as: Python, Spark, SQL, PLSQL Database platforms such as: Oracle, SQL Server, MySQL Big data concepts and technologies such as Synapse & Databricks #J-18808-Ljbffr
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