Important Links
Offices Location
- HQ - UK (London), MEA (Dubai),APAC (Singapore), Asia (Pakistan & India)
- Hello@Squarera.com
- +44 7508645838
Squarera is seeking a highly skilled and experienced Data Engineer to join our dynamic team. The ideal candidate must have excellent experience in data engineering, with a strong background in designing, implementing, and maintaining scalable data infrastructure. The Data Engineer will play a crucial role in shaping and optimizing our data architecture to support the organization's data-driven initiatives.
Team Leadership:
· Lead and mentored a team of data engineers, providing guidance on best practices, coding standards, and technical design.
· Foster a collaborative and innovative team environment, encouraging continuous learning and skill development.
· Coordinate and prioritize tasks, ensuring timely and successful project delivery.
Data Architecture:
Data Architecture and Design:
· Collaborate with cross-functional teams to understand data requirements and design scalable and efficient data models.
· Develop and maintain conceptual, logical, and physical data models to ensure data accuracy and integrity.
· Evaluate and implement data storage solutions and technologies.
Data Integration:
· Design and implement ETL (Extract, Transform, Load) processes to integrate data from various sources into a centralized data warehouse.
· Ensure data quality and consistency across different data sets through effective data cleansing and transformation.
Database Management:
· Manage and optimize database systems to ensure high performance and availability.
· Implement best practices for data security, privacy, and compliance.
· Troubleshoot and resolve database-related issues in a timely manner.
Data Processing and Analysis:
· Work closely with data scientists and analysts to enable efficient and accurate data processing and analysis.
· Implement solutions for real-time data processing and streaming.
Performance Optimization:
· Monitor and optimize the performance of data pipelines, databases, and queries.
· Identify and address bottlenecks to ensure smooth data flow and processing.
Collaboration and Communication:
· Collaborate with other engineering teams, stakeholders, and data users to understand business requirements and provide effective data solutions.
· Communicate complex technical concepts to non-technical stakeholders.
Documentation:
· Create and maintain comprehensive documentation for data engineering processes, workflows, and systems.
· Ensure knowledge transfer and documentation for seamless team collaboration.
· Bachelor’s degree in computer science, Information Technology, or a related field.
· Minimum of 3 years of professional experience in data engineering.
· Proficient in SQL and experience with relational and non-relational databases.
· Strong programming skills in languages such as Python etc.
· Experience with ETL tools and frameworks.
· Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
· Solid understanding of data warehousing concepts and methodologies.
· Excellent problem-solving and analytical skills.
· Strong communication and collaboration skills.
· Ability to work independently and as part of a team in a fast-paced environment.
· If you meet these qualifications and are passionate about data engineering, we invite you to apply and be part of our innovative and growing team.
· The candidate must be fluent in speaking and writing English.
Benefits:
Excellent perks and benefits will be given to the successful candidate along with the chance to work aboard.
Note:
This job follows UK time zone, 2:00 PM to 11:00 PM (Mon to Fri)
Job Type: Full-time
Experience
Language:
Skills:
Strong analytical and problem-solving skills.
Good understanding of object-oriented programming.
Familiarity with database management and SQL.
Excellent communication and teamwork abilities.
Attributes:
Eagerness to learn and a proactive attitude.
Ability to work under supervision and adapt to new technologies.
What We Offer:
Comprehensive training and development program.
Mentorship from experienced professionals.
Opportunity to work on real-world projects.
Competitive stipend.
Key Competencies:
Perks & Benefits (After selection as a full-time employee)