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Sciative Solutions- Data Engineer - Python/Spark
Sciative Solutions- Data Engineer - Python/SparkSciative Solutions Private Limited • Navi Mumbai
Sciative Solutions- Data Engineer - Python / Spark

Sciative Solutions- Data Engineer - Python / Spark

Sciative Solutions Private Limited • Navi Mumbai
30+ days ago
Job description

Job Responsibilities :

  • Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models.
  • Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions.
  • Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.
  • Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently.
  • Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modelling.
  • Monitor data flows and processes, identify and resolve data-related issues and bottlenecks.
  • Contribute to the continuous improvement of data engineering practices and standards within the organization.
  • Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing

Candidate Profile :

  • Strong passion for data engineering, artificial intelligence, and problem-solving.
  • Solid understanding of data engineering concepts, data modeling, and data integration techniques.
  • Proficiency in programming languages such as Python, SQL and Web Scrapping.
  • Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark would be add on..
  • Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus.
  • Excellent analytical and problem-solving skills, with a keen eye for detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team- oriented environment.
  • Self-motivated, quick learner, and adaptable to changing priorities and technologies.
  • (ref : hirist.tech)

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