Data Engineer

Job highlights

• Bachelors or Masters degree in Computer Science,Engineering,or a related field
• Proven experience as a Full Stack Data Engineer or in a similar role
• Proficiency in programming languages like Python or Java,and experience with SQL and NoSQL databases
• Experience with big data processing frameworks (e.g.,Hadoop,Spark)

Genzeon is looking for an experienced Full Stack Data Engineer to join our team in Pune. In this role, you will be instrumental in shaping our data architecture, developing full-stack data solutions, and driving innovation in data processing and analytics. This position offers an exciting opportunity to work with a team of passionate professionals dedicated to leveraging data for impactful decisions and products.

Responsibilities

• Data Architecture: Design and build robust, scalable data architectures that support both operational and analytical use cases.
• ETL Development: Develop and maintain ETL processes to gather data from various sources, ensuring data quality and consistency.
• Data Modeling: Create and optimize data models to support efficient data storage, retrieval, and analysis.
• API Development: Design and implement APIs for data ingestion, processing, and retrieval.
• Data Visualization: Develop dashboards and reports to visualize complex datasets in a user-friendly manner.
• Cloud Solutions: Work with cloud technologies to deploy and maintain data solutions.
• Collaboration: Work closely with data scientists, analysts, and other engineers to integrate data solutions into company products and services.
• Innovation: Stay updated with the latest trends and technologies in data engineering and propose innovative solutions to improve existing systems.

Requirements

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience: Proven experience as a Full Stack Data Engineer or in a similar role.
• Technical Expertise: Proficiency in programming languages like Python or Java, and experience with SQL and NoSQL databases.
• Data Processing: Experience with big data processing frameworks (e.g., Hadoop, Spark).
• Front-End Development: Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) for dashboard and report development.
• Cloud Platforms: Familiarity with cloud services (AWS, Azure, GCP) and their data-related offerings.
• Analytical Mindset: Strong problem-solving skills and the ability to work on complex data challenges.
• Communication Skills: Excellent communication skills to effectively collaborate with team members and stakeholders.

Benefits

• Competitive salary and benefits package.
• Dynamic and innovative work environment.
• Opportunities for professional growth and development.
• Flexible working hours and supportive team culture.

Must Have Skills:

• Technical Expertise: Proficiency in programming languages like Python or Java, and experience with SQL and NoSQL databases.
• Data Processing: Experience with big data processing frameworks (e.g., Hadoop, Spark).
• Front-End Development: Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) for dashboard and report development.
• Cloud Platforms: Familiarity with cloud services (AWS, Azure, GCP) and their data-related offerings.
• Analytical Mindset: Strong problem-solving skills and the ability to work on complex data challenges.
• Communication Skills: Excellent communication skills to effectively collaborate with team members and stakeholders.