Description
· Understanding business needs around big data integration, data engineering and data operations to build end-to-end data pipelines for analytics purposes.
· Describe specific business problems and support solution-engineering process.
· Master Data Management, data transformation and data preparation for structured and unstructured data (Image).
· Orchestrate, Automate, maintain and testing of Data Pipelines on premises and off premises.
· Ensure data records are well structure as per requirement.
· Proven knowledge of designing and developing scalable solutions with data processing engines for production grade application for e.g. Apache Spark, Airflow, Apache NIFI, Control-M etc.
· Analyzing /develop and implement data models for storing, handling and realization of data tools and databases.
· Deep understanding of Python. Knowledge of different packages of python used for data engineering.
· Good understanding of spark, pyspark and distributed computing.
· Familiar with the Linux environment. Knowledge of shell scripting is added advantage.
· Experience in designing relational and non-relational databases – PostgreSQL/Cassandra and eliminating performance bottlenecks.
· Experience with version control tools – GIT, GitLab, Atlassian toolchain
· Knowledge of reporting tools like MS Power BI, Kibana, Dash etc.
· Sound knowledge of Data Warehousing concepts, Data models and Lakehouse architecture.
· Continuously improve optimize our data and data pipeline architecture as well as optimizing data collection and data flow.
· Maintain the data pipelines and perform data normalization and transformations.
· Familiar with cloud environment like AWS, Azure, Google Cloud, Databricks etc.
· Work with IT domain teams and business partners, to assist with data-related technical issues and support the end-to-end production operations of data pipelines.
· Project participation/management in rollout of implementation projects worldwide.
Implementation of the company's strategy in the field of data management.
Demonstrated teamwork and collaboration in a professional setting. Qualifications
. Bachelors/Masters/Doctorate in Electrical/Electronics/Computer science/Communications or other related streams of Engineering.
. 4- 7 years in automotive/aerospace or related industry.
. Experience in working in a diverse work environment, across different work cultures and a matrix organization.
. International work experience
. Strong written and oral communication skills (English)
Other preferred skills
German language skills will be added advantage
Organization Organization Mercedes-Benz Research and Development India Private Limited Primary Location India-Karnataka-Bangalore Work Locations Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066
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