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Senior Data Engineer

External
winhomeinspection logoWinhomeinspection · Greater Delhi Area
Full-timeOn-site2mo ago
AWSETLLeadershipNumPyPandasPower BI
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Responsibilities

  • Develop, test, and maintain efficient Python applications.
  • Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
  • Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
  • Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
  • 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.
  • REQUIRED QUALIFICATIONS:
  • 3-5+ years of expertise in Python is a must have.
  • 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 and the ability to work in a collaborative team environment.
  • Bachelor / Master degree in Computer Science, Engineering, or a related field.
  • WHY JOIN US?
  • Highly inclusive and collaborative culture built on mutual respect.
  • Focus on core values, initiative, leadership, and adaptability.
  • Strong emphasis on personal and professional development.
  • Flexibility to work remotely and/or hybrid indefinitely.
  • ABOUT WIN:
  • OUR CULTURE:
  • #LI-REMOTE

Benefits

Remote work options

Additional Information

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role-it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.


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