Bosch Careers 2024 : Actively Hiring Data Engineer

Bosch Careers 2024 : Actively Hiring Data Engineer And Every Engineering Graduates is Eligible

About Company :

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 22,700 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

For instant tech job alert !! Join here

Basic Job Details :

Job ID	HRS22
Job Role	Data Engineer
Education Qualifications	BE/B.Tech or Other Tech Degree
Salary Package	4 to 6 LPA ( Expected )
Experience	Fresher
Job Location	Bengaluru ( Top IT Hub )
Last apply date	ASAP

Attention : Read all criteria carefully and make changes in resume by adding relevent keywords so you will get the interview call otherwise you will loose opportunity.

Job Description

We are seeking a highly skilled Data Engineer with expertise in Databricks, PySpark, and SQL to join our dynamic team. As a key member of our data engineering group, you will play a crucial role in designing and implementing ETL pipelines, optimizing data processing workflows, and creating robust data schemas. If you are passionate about leveraging Databricks for efficient data processing, have strong proficiency in PySpark and SQL, and excel in designing data schemas, we invite you to apply.

JP Morgan offers a data scientist or analyst role for graduates

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Proven experience in designing and implementing ETL pipelines using Databricks and PySpark.
Strong proficiency in SQL and relational databases.
Familiarity with data modeling and schema design in both relational databases and Databricks.
Excellent problem-solving and communication skills.

Skills:

Advanced knowledge of Databricks, PySpark, and SQL.
Experience in designing and optimizing ETL pipelines.
Proficiency in data schema design for both relational databases and Databricks.
Strong analytical and troubleshooting skills.
Effective collaboration and communication skills.If you are passionate about data engineering, have a keen eye for optimizing ETL processes, and excel in leveraging Databricks for efficient data processing, we look forward to receiving your application. Join us in driving excellence in our data engineering practices!

For instant tech job alert !! Join here

Responsibilities:

ETL Pipeline Design and Implementation:
Design, develop, and implement ETL pipelines using Databricks and PySpark for efficient and scalable data processing.
Optimize and fine-tune ETL workflows to ensure high performance and reliability.
Collaborate with cross-functional teams to understand data requirements and ensure seamless integration.
Data Schema Design:
Design and implement data schemas for both relational databases and Databricks environments.
Ensure data schemas align with business requirements and support efficient data retrieval and analysis.
Implement best practices for data modeling, indexing, and normalization.
Databricks and PySpark Expertise:
Demonstrate advanced knowledge and hands-on experience with Databricks and PySpark.
Troubleshoot and resolve issues related to Databricks and PySpark processing.
Stay updated on the latest advancements in Databricks and PySpark technologies.
SQL Mastery:
Develop and optimize complex SQL queries for data extraction, transformation, and loading.
Collaborate with database administrators to ensure proper indexing and query optimization.
Ensure data consistency and integrity across various data sources.
Collaboration and Documentation:
Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
Document ETL processes, data schemas, and provide clear documentation for future reference.
Collaborate with the broader data engineering team to share knowledge and best practices.