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Data Science Engineer


Electrobrain Modern Technologies Private Limited


Location

Pune | India


Job description

Programming Skills: You should have a strong foundation in programming languages like Python, Java, and Scala.
Database Skills: You should be proficient in SQL and know about NoSQL databases such as Cassandra, MongoDB, and HBase.
Data Warehousing: Understanding the concepts of data warehousing, including ETL (Extract, Transform, Load) processes and data modeling is essential.
Data Integration: You should be able to integrate data from various sources, such as web services, APIs, and file systems.
Big Data: Knowledge of distributed computing technologies like Hive, Hadoop, and Spark, is becoming increasingly important for data engineers.
Cloud Computing: Familiarity with cloud-based storage and computing platforms such as Azure, AWS, and GCP is crucial.
Data Pipelines: Understanding how to build data pipelines using tools like Apache NiFi, Apache Kafka, and Apache Airflow is critical.
Version Control: Proficiency in version control systems such as Git and understanding the concepts of branching, merging, and tagging is essential.
Data Visualization: You should have a good understanding of data visualization tools such as QlikView, Tableau, and Power BI.
Soft Skills: Good communication skills, problem-solving skills, and a willingness to learn are essential to succeed as a data engineer.


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