Skill set required ETL - Data Integration tools –ADF
Graduation B.E. / Btech. Any Graduate
Professional qualification Any
Work Experience 5-8 Years
The key job responsibilities include the following:
The Solutions Delivery group with Deloitte Canada’s ITS (Information Technology Services department) requires an experienced developer to contribute as technical team member for major software development projects. This role requires:
- ETL application development experience using Azure Data Factory
- ETL application development on Datastage will be an added advantage.
- ETL design experience
- Solid grounding in relational database (Microsoft SQL Server)
- Web services and message queue design and development experience
- Experience working in a Hadoop workplace will be an added advantage
- Good understanding of software development life cycle management
- Ability to work / interact effectively with remote team members
- Adhere to Deloitte Canada coding standards, procedures and techniques and contribute to the technical code documentation
- Remain well informed of new technologies / programming languages
This role will be responsible for:
- Design and development of ETL systems, data integration solutions, ensuring proper coding standards, procedures and techniques are followed
- Act as the subject matter expert on development techniques
- Design and develop migration of data/ETL to Cloud(Azure) based services
- Creates technical code documentation and participates as a contributor in solution design and estimation
- Perform unit testing and analyze / report the results to pertinent teams
- Troubleshoot errors and problems reported by QA, product owners, and end users while documenting how to resolve issues
- Identify / troubleshoot application code-related issues (provide 3rd level production support / issue resolution)
- Contributes to direction, product and project planning and SDLC practices for ETL/big data-oriented projects. Possesses in-depth knowledge and enforces standards, procedures, and methodologies. Supports the maturing of systems engineering, quality assurance and analysis policies, procedures, standards for data integration projects in line with organizational standards