Mercedes-Benz Research and Development India Private Limited | Jobs | Data Engineer – MeCharge | BigDataKB.com | 02-02-22

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    Job Location: Bangalore

    Aufgaben

    Responsibilities :

    • Extensive experience on building Data Pipeline by scrapping data from Multiple Data Source (CSV, Excel, JSON etc).
    • 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
    • Strong Knowledge and working experience on ETL concept. Proficiency in data warehousing design, tuning and ETL/ELT process development
    • 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.
    • 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.
    • Designs and builds conceptual and logical data models and flowcharts which conform to existing standards and conventions
    • Good to have Knowledge in data modelling, process modelling, master data management, metadata management and enterprise data management.
    • Experience in migrating data from legacy applications.
    • 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 data mining and segmentation techniques
    • Proficiency in database structure principles and Relational DBMS with 3rd normal form relational modelling and dimensional modelling
    • 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.
    • 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.
    • Evaluation and recommendation of new data management and storage technologies/standards
    • Partners with security specialists to ensure compliance with data security and privacy mandates
    • Builds and revises data dictionary definitions, governance practices, and standards.

    Expertise in following Technical areas is MUST.

    • 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.
    • 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.

    Expertise in following Technical areas is Good to have.

    • Adobe and Google Analytics concepts
    • Knowledge in various machine leaning frameworks like Tensorflow , Keras and PyTorch .
    • Exposure to MS Power Bi
    • Knowledge on R and Scala
    • Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce.

    Other Skills

    • Extremely good Analytical and Problem Solving Skill
    • In-depth understanding of SDLC life Cycle
    • Experience in Agile Product Development methodology
    • Experience in Converting business requirements in business documents
    • Good communication skills
    • Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce is good to have.

    Qualifikationen

    Apply Here

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