TasksTasks

Good Communication & presentation skills.

• Strong Knowledge of Azure Components Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks

Data Pipeline Development:

Design, build, and maintain efficient, reusable, and reliable data pipelines.
Ensure data flow between different systems and databases is seamless and error-free.

ETL Processes:

Develop and maintain ETL (Extract, Transform, Load) processes to aggregate data from various sources.
Ensure data quality and integrity throughout the ETL process.

Performance Optimization:

Optimize data pipelines and queries for performance.
Identify and resolve bottlenecks in data processing workflows.

QualificationsQualifications

Experience - 2 years or above

Qualification - B.Tech, MTech

• Must have strong knowledge & hands on in Apache Spark and Python programming, working with Delta Tables, Experience in Databricks is must

• Strong SQL Skills: Data modelling, Developing SQL Store Procedures, Functions, Dynamic SQL queries, Joins

• Must be aware of development of components for data fetching from APIs

• Strong knowledge of Data Warehousing Concepts.

• Hands on experience in ingesting data from various data sources and data types & file types

• Should have good knowledge on development lifecycle , best practice, and coding standards. Should be able to help team members, review the code.

• Good knowledge in Azure DevOps, understanding of build and release pipelines

Our company cultureOur company culture

At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company. Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.