Senior Data Engineer

Bangalore, Karnataka
Permanent
Full-time

17 days ago

Job DescriptionAs a Data engineer in our team, you work with large scale manufacturing data coming from our globally distributed plants. You will focus on building efficient, scalable & data-driven applications.The data sets produced by these applications - whether data streams or data at rest - need to be highly available, reliable, consistent and quality-assured so that they can serve as input to wide range of other use cases and downstream applications.We run these applications on Azure databricks, you will be building applications, you will also contribute to scaling the platform including topics such as automation and observability.Finally, you are expected to interact with customers and other technical teams e.g. for requirements clarification & definition of data models.Primary responsibilities: ·Be a key contributor to the Bosch hybrid cloud data platform (on-prem & cloud)Designing & building data pipelines on a global scale, ranging from small to huge datasetsDesign applications and data models based on deep business understanding and customer requirementsDirectly work with architects and technical leadership to design & implement applications and / or architectural components * Architectural proposal and estimation for the application, technical leadership to the team

Coordination/Collaboration with central teams for tasks and standards
Develop data integration workflow in Azure
Developing streaming application using scala.
Integrating the end-to-end Azure Databricks pipeline to take data from source systems to target system ensuring the quality and consistency of data.
Defining data quality and validation checks.
Configuring data processing and transformation.
Writing unit test cases for data pipelines.
Defining and implementing data quality and validation check.
Tuning pipeline configurations for optimal performance.
Participate in Peer review and PR review for the code written by team members

Qualifications

Bachelor's degree in computer science, Computer Engineering, relevant technical field, or equivalent; Master's degree preferred.

Additional InformationSkills

Based on deep technical expertise, capable of working directly with architects and technical leadership

Able to guide junior team members in technical questions related to architecture or software & system design

Self-starter and empowered professional with strong execution and communication capabilities

Proactive mindset: identify and start work independently, challenges status quo, accepts being challenged

Outstanding written and verbal communication skills.

Key Competencies:

6+ years' experience in data engineering, ETL tools and working with large data sets.
Minimum 5 years of working experience of distributed cluster.
At least 5 years of experience in Scala software development.
At least 2-3 years of Azure Databricks Cloud experience in Data Engineering
Experience of Delta table, ADLS, DBFS, ADF.
Deep level of understanding in distributed systems for data storage and processing (e.g. Kafka, Spark, Azure Cloud)
Experience with Cloud based SQL Database: Azure SQL Editor
Excellent software engineering skills (i.e., data structures, algorithms, software design).
Excellent problem-solving, investigative, and troubleshooting skills
Experience with CI/CD tools such as Jenkins and Github
Ability to work independently.

Soft Skills:

Good Communication Skills
Ability to coach and Guide young Data Engineers
Decent Level in English as Business Language

Bosch

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