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Data Engineer - Python/PySpark

0 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Responsibilities Ability to write clean, maintainable, and robust code in Python Understanding and expertise of software engineering concepts and best practices Knowledge of testing frameworks and libraries Experience with analytics (descriptive, predictive, EDA), feature engineer, algorithms, anomaly detection, data quality assessment and python visualization libraries - e.g. matplotlib, seaborn or other Comfortable with notebook and source code development - Jupyter, Pycharm/VScode Hands-on experience of technologies like Python, Spark/Pyspark, Hadoop/MapReduce/HIVE, Pandas etc. Familiarity with query languages and database technologies, CI/CD, testing and validation of data and software Tech stack and activities that you would use and preform on a daily basis : Python Spark (PySpark) Jupyter SQL and No-SQL DBMS Git (as source code versioning and CI/CD) Exploratory Data Analysis (EDA) Imputation Techniques Data Linking / Cleansing Feature Engineering Apache Airflow/ Jenkins scheduling and automation, Github and Github Actions Collaborative - able to build strong relations that enable robust debate, and resolve periodic disagreements regarding priorities. Excellent interpersonal, and communication skills Ability to communicate effectively with technical and non-technical audience Ability to work under pressure with a solid sense for setting priorities Ability to lead technical work with strong sense of ownership Strong command of English language (both verbal and written) Practical and action oriented Compelling communicator Excellent stakeholder management Foster and promote entrepreneurial spirit and curiosity amongst team members Team player Quick learner (ref:hirist.tech) Show more Show less

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