Databricks Jobs for Fresher Engineers 2023
Batch | Databricks Off Campus Drive 2023 | BE/B.Tech | Trainee Engineer |
Freshers | PAN India
Intern Trainee Engineer
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 value and achieve
their strategic objectives
using our products.
The impact you will have (being a part of
Platform Team):
- Performing
initial analysis and troubleshooting issues in product deployment, data
migration, workspace recovery, Networking setup, 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, networking for
reproducing Platform issues.
- Provide
proactive solutions/suggestions for the Platform library integration
issues.
- Provide
initial level of analysis around third party integrations with 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 on a daily basis and adhere to committed SLA's.
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, MySQL
is preferred. - Good
Linux/Unix administration skills is 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
Spark Team):
- Performing
initial analysis and troubleshooting issues in Spark using Spark UI
metrics, DAG, Event Logs for various customer reported job slowness
issues.
- Performing
initial analysis and troubleshooting issues in product deployment, data
migration, and working closely with the Platform support team.
- Performing
initial analysis and troubleshooting issues in product deployment, 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 on a daily basis and adhere to committed SLA's.
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, Datawarehousing/ETL technologies like Informatica, DataStage,
Oracle, Teradata, SQL Server, MySQL is 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
About Databricks
Databricks is the 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.
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