Benefits

Benefits Included

• Competitive salary and performance-based bonuses
• Medical insurance
• Provident fund with company match
• Paid time off and holidays
• Professional development and training opportunities

Qualification & Experience

• Bachelor’s or Master’s degree in Information Technology/Computer Science Engineering (or equivalent)
• 5-10 years of experience as Data Engineer
• Experience in designing, building, and managing data infrastructure and pipelines, as
• well as conducting analysis work to provide insights that will guide strategic decisions.

Mandatory Skills

• Strong proficiency in SQL and Python for data analysis, modeling, and automation.
• Experience with relational SQL databases, including Postgres and advanced SQL techniques.
• Experience with data pipeline & workflow management tools such as Airflow.
• Strong analytical skills with the ability to organize, analyze, and disseminate significant amounts of information with attention to detailand accuracy.
• Strong project management and organizational skills.

Duties and Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Manage and execute data warehouse plans for to solve well-scoped problems.
• Identify the data needed for a business problem and implement logging required to ensure data availability, while working with data infrastructure to triage issues and resolve
• Ensure systems meet business requirements and industry practices.
• Research opportunities for data acquisition and new uses for existing data.
• Design, build and launch scalable data models Independently design, build and launch new data extraction, transformation and loading processes using SQL, Python and other similar technologies
• Design, build and launch easy to understand and intuitive visualizations and dashboards
• Employ SQL, Python, and other programming languages to marry systems together and automate tasks.
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for data
• Recommend ways to improve data reliability, efficiency, and quality.
• Collaborate with stakeholders to understand data needs and deliver precise data insights.

Interpersonal Skills

• Good verbal and written communication skill
• Continuous learning attitude e.g., learn new programming languages and skills.
• Great team player – being able to work with others in groups and teams.
• Problem solving and decision-making – working with others to identify, define and solve problems, which includes making decisions about the best course of action.