Mercedes Benz India Career – Lead Data Engineer

Job Responsibilities:

  • Designs and builds conceptual and logical data models and flowcharts which conform to existing standards and conventions
  • Collect, collate data from disparate data sources such as RDBMS systems, logs, data files of various formats. Strong SQL and data model understanding is necessary.
  • Sound knowledge on building the Data Pipeline from scalability point of view by understanding the Application Landscape. Analyse structural requirements and builds data pipeline and models for analytics applications
  • Cleanse the data, treat and process data for correctness, uniformity, fitment for further analytical processing. Should work with the large and diverse volumes of enterprise datasets.
  • Strong Knowledge and working experience on ETL concept. Proficiency in data warehousing design, tuning and ETL/ELT process development
  • Extensive experience on building Data Pipeline by scrapping data from Multiple Data Source (CSV, Excel, JSON etc).

Job Requirements:

  • Experience in migrating data from legacy applications.
  • Bachelor’s Degree in Information technology or Engineering
  • Should be good in communication to create data stories and explain satirical outcomes. Should be able work with Notebooks and EDA components to explain analytical outcomes in a convincing way supported by data and visualizations.
  • Knowledge of programing languages: Python and SQL.
  • Knowledge on Big Data Analytics (PySpark)
  • Expertise in working with modern data lakes and data warehouses.
  • Strong knowledge on ETL Process and Technique.
  • Good to have Knowledge in data modelling, process modelling, master data management, metadata management and enterprise data management.
  • Proficiency in database structure principles and Relational DBMS with 3rd normal form relational modelling and dimensional modelling
  • An Aspirant with good to have experience on AI/ML use cases with appropriate python/R packages. Deep dive into business domain and domain data, extract features, do through feature engineering so that interactive and iterative ML models can be built.
  • Familiar with Cloud Solution :  Azure (Data Bricks, Data Factory, ADLS )
  • Deployment Knowledge: CI/CD Tool Chain.
  • Strong knowledge on SQL DB and NoSQL DB.
  • Exposure on Data science modelling concept.
  • Evaluation and recommendation of new data management and storage technologies/standards
  • Should independently work with global teams, deliver analytical and predictive outcomes expected. Also keep looking for opportunities to mine additional use cases as domain and data understanding grows.
  • Knowledge of data mining and segmentation techniques

Job Details:

Company:  Mercedes-Benz

Vacancy Type:  Full Time

Job Location: Bengaluru, Karnataka, India

Application Deadline: N/A

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