Tezza”(te-zza) from the Italian word "Completezza” embodies our commitment to providing IT and Business Solutions that are comprehensive, through and complete. We specialize in providing personalized Software Quality Assurance and Testing Services within a streamlined, phased delivery channel. With a primary goal of putting technological solutions to work in practical ways that ensures a healthy bottom-line our solutions reflect a deep understanding of real-world business challenges. Working in conjunction with our clients we are able to create and implement result-oriented personalized solutions.
Job Summary
- We are seeking an experienced Data Engineer to join our dynamic IT team. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data architectures and pipelines.
- The ideal candidate should have 3 to 5 years of relevant experience, a strong background in data engineering technologies, and a passion for optimizing data workflows.
Responsibilities
- Collaborate with cross-functional IT teams to understand data requirements and architecture goals.
- Design and develop scalable and efficient data pipelines for data processing and integration.
- Implement ETL processes to transform raw data into usable formats for analysis and reporting.
- Optimize and maintain database performance, ensuring data integrity and reliability.
- Collaborate with data scientists and analysts to understand data needs and provide efficient solutions.
- Design and implement data models, ensuring compatibility with business requirements.
- Develop and maintain documentation for data engineering processes, workflows, and data dictionaries.
- Collaborate with IT security teams to implement data privacy and compliance measures.
- Stay updated on emerging trends and best practices in data engineering.
- Participate in the planning and execution of data-related projects.
Requirements
- Bachelor's degree in computer science, Information Technology, or a related field.
- 3 to 5 years of proven experience as a Data Engineer.
- Proficiency in programming languages for data manipulation and transformation (e.g., Python, Scala).
- Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Strong knowledge of ETL tools and frameworks (e.g., Apache Spark, Apache Beam).
- Proficient in SQL and database management (e.g., MySQL, PostgreSQL, or similar).
- Familiarity with cloud-based data storage and processing platforms (e.g., AWS, Azure, or Google Cloud).
- Excellent problem-solving and debugging skills.
- Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Proactive attitude towards learning and staying updated on industry trends.
Preferred Qualifications
- Master's degree in computer science or a related field.
- Certification in data engineering or related areas.
- Experience with real-time data processing and streaming technologies.
- Knowledge of data governance and compliance.
- Familiarity with machine learning concepts and implementations.
- Contribution to open-source data engineering projects or a strong portfolio of previous work.
Method of Application
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