Professional Skills:

· Bachelors or Master’s degree in mathematics, Computer Science, Physics or Statistics.

· Experience in a consulting or client-facing environment.

· Good knowledge of database warehousing principles and tools.

· Azure Data Engineering - SQL, Hadoop concepts, Hive/Data bricks, Spark/PY Spark.

· Experience in Snowflake utilities including Snow SLQ, Snow pipe, Snow light for handling Streaming data is a plus.

· Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features.

· Experience in in re-clustering Snowflake data with good understanding of Micro-Partition within Snowflake.

· Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns.

· Experience in handling semi-structured data (JSON, XML) in Snowflake.

· Minimum of 2 years of hands-on experience in Cloud technologies such as Azure - Blob Storage, Cool Blob Storage, Virtual Machine, Functions, SQL Data Warehouse.

· Ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy.

· Must be a self-starter/strong drive for results.

· Advanced knowledge of Business Intelligence and visualization tools Tableau and PowerBI.

· Advanced technical skills in Database and SQL

· Advanced knowledge in programming language Python

· Knowledge of big data technologies (Hadoop, Hive, HBase, Spark, etc.)

· Knowledge of agile development methodologies

· Proven working experience in data analysis.

· Adept at queries, writing reports, and making presentations.

· Team-working skills.

· Verbal and Written communication skill.

Responsibilities:

· Synthesizes business requirements and develops innovative analytics and BI solutions that meet customer requirements.

· Using automated tools to extract data from primary and secondary sources.

· Data Engineering to build pipelines.

· Exploratory Data Analysis to clean and improve the quality of the data.

· Using tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.

· Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques.

· Works on data modelling, KPI development and insight generation

· Develop visualization using excel, Power BI, Tableau for insight generation.

· Advanced visualization using DAX, Python programming.

Bachelors in IT/Computer Science

At Daimler Truck we are united in our purpose “We work for all who keep the world moving”. This motivates us to pursue our common goal: leading sustainable transportation. However, our impact as a global transportation company depends entirely on the impact of each individual at Daimler Truck. That’s why we ensure that our people are encouraged and empowered to show their full impact.

We promote diversity and stand for an inclusive corporate culture. We value the individual strengths of our employees, because these lead to the best team performance and thus to the success of our company.
You can be your true self at Daimler Truck. Inclusion and equal opportunities are important to us. We welcome applications from people of all cultures and genders, different generations and phases of life, people with disabilities and people from any underrepresented group.