Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will leverage their expertise to build robust data systems and pipelines, enhancing our data infrastructure and supporting our analytics initiatives.

Responsibilities :

• Analyze and organize raw data from various sources to ensure quality and reliability.
• Build and maintain efficient data systems and pipelines.
• Evaluate business needs and objectives, translating requirements into technical
  specifications.
• Interpret trends and patterns in data, drawing actionable insights for business strategies.
• Conduct complex data analysis and compile comprehensive reports on findings.
• Prepare datasets for prescriptive and predictive modeling.
• Design and implement algorithms and prototypes to solve data challenges.
• Combine raw information from diverse sources to create unified datasets.
• Explore and implement enhancements to improve data quality and accessibility.
• Identify and harness opportunities for data acquisition and integration.
• Develop analytical tools and programs to facilitate intuitive data usage.
• Collaborate cross-functionally with data scientists and architects on various projects.

Required Skills and Qualifications:

• Proven experience as a Data Engineer or similar analytical role.
• Technical expertise in data models, data mining, and segmentation techniques.
  Hands-on experience with SQL database design and management.
• Strong numerical and analytical skills with a keen attention to detail.
• Proficient in programming languages and tools such as Python, PySpark, Spark, Django,
  Pandas, NumPy, as well as database technologies including MySQL, PostgreSQL, Snowflake, AWS Redshift, and Hive.
• Familiarity with cloud services like AWS and Azure.
• Educational background: Bachelor’s degree in Computer Science, IT, or a related field; a
  Master’s degree is a plus.

What We Offer:

• Competitive salary and performance-based incentives.
• Opportunities for professional growth and career advancement.
• Collaborative and inclusive work environment.
• Access to cutting-edge technologies and tools.

Experience Required :

1–5 Years

Employment Type: Full-Time