Data Engineer

# AI Data Engineer ## Company Overview *Not provided.* ## Job Summary The AI Data Engineer will be responsible for developing and maintaining data pipelines, ensuring optimal data flow, and collaborating with data scientists to support data-driven decision-making processes within the organization. This role contributes to the overall success of the company by enhancing data accessibility and usability for analytical and operational functions. ## Responsibilities - Design, construct, and maintain scalable data processing systems and pipelines. - Collaborate with data scientists and analysts to understand data requirements and tailor data models accordingly. - Optimize data delivery and transformation processes to ensure data accuracy and efficiency. - Implement data quality checks to maintain the integrity and reliability of datasets. - Analyze and troubleshoot data issues to enhance data solutions across the organization. ## Qualifications - **Technical Skills:** - Proficient in **Python** for data manipulation and pipeline creation. - Familiarity with data storage technologies (e.g., SQL, NoSQL). - Experience with data processing frameworks (e.g., Apache Spark, Hadoop). - Knowledge of data visualization tools and techniques. - **Soft Skills:** - Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. - **Education:** - Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is preferred. ## Preferred Skills - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). - Familiarity with machine learning algorithms and data modeling techniques. - Understanding of containerization technologies (e.g., Docker, Kubernetes). ## Experience - Prior experience in data engineering or a similar role is advantageous, though specific years of experience are not defined. ## Environment - Work setting is expected to be in Bangalore, with possibilities for flexible arrangements, although detailed location specifics are not provided. ## Salary *Not provided.* ## Growth Opportunities *Not provided.* ## Benefits *Not provided.*