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Data Engineer with Big Data Expertise
2 months ago
Job Summary
We are seeking a highly skilled and experienced Big Data Engineer to lead our data engineering team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environments, such as Cloudera Data Platform. Overall experience can be 4 to 10 years. Consultant/Senior Consultant preferably. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. The candidate will also be integrating data sets to provide seamless data access to users.
Key Responsibilities
Analyze the Authority's data needs and document the requirements.
Refine data collection/consumption by migrating data collection to more efficient channels.
Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
Develop test plans and scripts for system testing, support user acceptance testing.
Work with the Authority's technical teams to ensure smooth deployment and adoption of new solutions.
Ensure the smooth operations and service level of IT solutions.
Support production issues - Track record in implementing systems with high availability, high performance, high security.
What we are looking for
Good understanding and completion of projects using waterfall/Agile methodology.
Good understanding of analytics and data warehouse implementations.
Ability to troubleshoot complex issues ranging from system resource to application stack traces.
Strong SQL, data modeling, and data analysis skills are a must.
Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
Track record in implementing systems using Hive, Impala, and Cloudera Data Platform will be preferred.
Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
Understanding/hands-on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
Passion for automation, standardization, and best practices.
Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
