Data Engineer

New
Flexibility to work remotely and/or hybrid indefinitely.Full-TimeMiddle
Salary not disclosed
Apply NowOpens the employer's application page

Job Details

Experience
3–5+ years
Required Skills
AWSPythonSQLMicrosoft Power BINumpyTableauPandas

Requirements

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
  • 3–5+ years of hands-on experience as Data Engineer using Python.
  • Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
  • Experience with Data Visualization tools such as Power BI, Tableau.
  • Strong understanding of relational databases and SQL.
  • Experience working with cloud platforms such as AWS.
  • Strong problem-solving skills with an analytical mindset.
  • Excellent communication skills and the ability to work in a collaborative team environment.

Responsibilities

  • Develop, test, and maintain efficient Python applications.
  • Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
  • Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
  • Design and implement algorithms for data processing, transformation, and analysis.
  • Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
  • Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
  • Ensure code quality, performance, and scalability through best practices and code reviews.
  • Stay updated with the latest advancements in Python, data engineering, and backend development.
View Full Description & ApplyYou'll be redirected to the employer's site
View details
Apply Now