Job Description:

As a Data Engineer at Krisar Infotech, you will be responsible for building, maintaining, and optimizing data pipelines to ensure efficient data processing and storage for our clients. You’ll work closely with data scientists, analysts, and stakeholders to design scalable data solutions that support analytics and machine learning initiatives. This role requires strong technical skills in data management, ETL (Extract, Transform, Load) processes, and big data technologies.

Key Responsibilities:

• Design and build data pipelines to collect, clean, and process data from diverse sources.
• Optimize and improve existing data architecture and database performance.
• Ensure data integrity, availability, and security across platforms.
• Write clean, maintainable code to automate data processing tasks.

Required Skills & Qualifications:

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

• Strong knowledge of SQL, Python, and/or Java.

• Hands-on experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Data Pipeline).

• Familiarity with cloud services (AWS, GCP, or Azure) and big data technologies (Hadoop, Spark).

• Excellent analytical and problem-solving skills, with attention to detail.

Preferred Qualifications:

• Experience with data warehousing solutions (e.g., Snowflake, Redshift).
• Knowledge of machine learning model deployment.
• Proficiency in data governance and security best practices.

How to Apply

To apply for this position, please submit the following documents:

• Certificate: Include any relevant certifications that demonstrate your qualifications.
• Identification: Provide a copy of your ID for verification purposes.
• Resume: Ensure your resume is current and highlights your experience and skills.
• Cover Letter: Write a brief cover letter explaining your interest in the position and why you would be a great fit.
• Other Relevant Documents: Attach any additional documents that may support your application.