Data Engineer

Skills

Data Analytics

Role

What the job involves

The main requirements, responsibilities and hiring steps.

Strong data analysis capability
Exceptional analytical and problem-solving skills
Competent in designing developing testing and deploying data integration solutions
Experienced in developing and managing ETL processes
Skilled in configuring and maintaining data integration tools and platforms
Ability to optimize data integration processes for performance and scalability
Effective collaboration with stakeholders and teams
Strong verbal and written communication skills
Knowledgeable about new data integration technologies
Quick learner and adapter to new software and systems
Strong attention to detail
Adherence to organizational standards for data management and integration
Bachelor’s degree in Computer Science Engineering or related field
At least 3 years hands-on experience with data integration tools and processes
Experienced with ETL/ELT processes
Knowledge of data warehousing principles
Practical experience with data integration tools (e.g. Talend SSIS)
Proficient with SQL and major relational databases (e.g. Oracle MySQL MS SQL Server)
Strong programming skills in Java Python or similar languages
Experienced with data visualization tools such as Tableau or Power BI
Ability to document data integration processes and collaborate with teams

Designing developing and managing data integration solutions to harness data as a strategic asset
Creating and implementing data integration solutions using a range of tools and technologies
Collaborating with business units and Data Architects to define data requirements and create technical specifications
Documenting integration processes and procedures in line with organizational standards
Analyzing data to identify patterns crucial for integration
Maintaining security of confidential and proprietary information
Developing jobs that interact with APIs or SFTP sites
Designing and managing ETL (extract transform load) processes to consolidate data into a centralized repository
Configuring and maintaining data integration tools and platforms
Overseeing data integration jobs and resolving issues as they arise
Enhancing integration processes for better performance and scalability
Staying updated on new technologies and methodologies in data integration