As a Data Engineer, you will play a pivotal role in designing and building data pipelines and ETL processes to support data-driven decision-making. Utilizing Python and MySQL, you will develop and optimize database schemas, perform data transformations, and ensure data accuracy through robust quality checks. You will collaborate closely with data scientists and analysts to fulfill data needs, contributing to data analysis and reporting initiatives. This role demands a strong foundation in data modeling, database management, and a passion for staying current with the latest data engineering practices and technologies.

Qualification and Experience

• Bachelor's degree in Computer Science, Engineering, or a related field.

Job Description

• Design, develop, and implement data pipelines and ETL processes using Python and MySQL.
• Develop and maintain data models, database schemas, and data dictionaries.
• Optimize and tune database performance for efficient data retrieval and processing.
• Perform data cleansing, transformation, and validation to ensure data accuracy and consistency.
• Implement and maintain data quality checks and monitoring processes.
• Develop and maintain documentation related to data pipelines, processes, and data flows.
• Identify and troubleshoot data-related issues and provide timely resolutions.
• Stay up to date with the latest technologies and best practices in data engineering and database management.
• Collaborate with data scientists and analysts to support their data needs and enable effective data analysis and reporting.

Required Skills

• Strong experience in MySQL database development and administration.
• Proficiency in the Python programming language for data processing and scripting.
• Solid understanding of data modeling concepts and relational database design principles.
• Experience with ETL tools and techniques, including data extraction, transformation, and loading.
• Familiarity with data warehousing concepts and methodologies.
• Knowledge of SQL and query optimization for efficient data retrieval.
• Knowledge of big data technologies like Hadoop, Spark, or Kafka.
• Experience with data visualization tools (e.g., Tableau, Power BI) for data reporting and visualization.
• Experience with version control systems (e.g., Git) for code management.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills to work effectively within a team environment.

Benefits of Working at eSewa

• Stellar opportunity to work with the rising company
• The amazing and passionate young team, beautiful office space
• Trust of biggest FinTech company. 
• One-of-a-kind company culture and growth opportunities to accelerate your career progression.

How to apply?

We are always keen to meet energetic and talented professionals who would like to join our team. Click on the button below and submit your application to apply for the post.

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