Databricks hiring SDE Interns | Intern Trainee Engineer | 2023 | Apply if interested |
Hello trainees this post is regarding that Databricks has launched its Inter Trainee Engineer, which anyone can join, whether you are fresher or professional, anyone can enroll and avail of its benefits. all the details, Eligibility, are given below.
About Databricks
Databricks is a lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Job Location: Bengaluru, India
Mission:
As a Technical Solutions Analyst, you will provide technical support for Spark/Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You
will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realize the value and achieve their strategic objectives
using our products.
The impact you will have (being a part of the Platform Team):
- Performing initial analysis and troubleshooting issues in product deployment, data migration, workspace recovery, Networking setup, and IAM functionalities of Databricks AWS/Azure/GCP Cloud environments.
- Assist the technical support team members in setting up cloud resources, notebook environment, cloud labs, test bed, log downloads setup, and networking for reproducing Platform issues.
- Provide proactive solutions/suggestions for the Platform library integration issues.
- Provide an initial level of analysis around third-party integrations with the Databricks environment.
- Review Support team JIRA tickets and proactively intimate the support leadership team for following up on the action items.
- Assist in the development of tools/automation initiatives.
- Manage Customer Support Cases daily and adhere to committed SLAs.
Follow Instagram Channel
What we look for (Platform Team):
- Experience in designing, building, testing, and maintaining Python/Java/Scala-based applications.
Proven experience in a real-time project or an academic project on the subject areas - Conceptual understanding and hands-on experience with any SQL-based database, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL
are preferred. - Good Linux/Unix administration skills are preferred
Basic understanding or a good hands-on project experience with AWS/Azure/GCP Ecosystems in
either an administrative, development, or support role is preferred.
Excellent written and oral communication skills
Demonstrated analytical and problem-solving skills, particularly those that apply to “Distributed Big
Data Computing” environments.
The impact you will have (being a part of the Spark Team):
- Performing initial analysis and troubleshooting issues in Spark using Spark UI metrics, DAG, and Event Logs for various customer-reported job slowness issues.
- Performing initial analysis and troubleshooting issues in product deployment, and data migration, and working closely with the Platform support team.
- Performing initial analysis and troubleshooting issues in product deployment, and data migration, and working closely with the Platform support team
- Facilitate screen-sharing meetings, slack channel conversations with
our internal stakeholders and customers - Review Support team JIRA tickets and proactively intimate the support leadership team for following up on the action items.
- Assist in the development of tools/automation initiatives.
- Manage Customer Support Cases daily and adhere to committed SLAs.
What we look for (Spark Team):
- 2023 Engineering Graduate in Computer Science Engineering or related branch
- Experience in designing, building, testing, and maintaining Python/Java/Scala-based applications.
- Experience in designing, building, testing, and maintaining Python/Java/Scala-based applications.
- SQL-based database, and Datawarehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL are preferred.
- Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
- Hands-on experience with AWS or Azure is preferred
- Excellent written and oral communication skills
GET DETAILS AND APPLY HERE: CLICK HERE
For more information and updates on jobs and internships visit: Zero2Placement
