
Data Solutions Architect
2 days ago
The role involves building strong working relationships with key business stakeholders to improve outcomes, drive engineering standards across the group, and identify opportunities to enhance technical solutions.
You will be expected to design and implement data-centric solutions to address customers' core business objectives, lead or participate in defining ETL strategies, and communicate technical solutions effectively.
This position requires a deep understanding of customers' needs, as well as expertise in developing UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive), and Autosys JIL.
- Design and implement data-centric solutions to address customers' core business objectives.
- Lead or participate in defining ETL strategies and communicating technical solutions.
- Develop UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive), and Autosys JIL.
Required Skills and Qualifications:
- Hands-on experience in ETL pipeline building with spark or scala programming framework.
- Knowledge in developing UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive), and Autosys JIL.
- Experience in Big data platform for ETL development with AWS cloud platform.
- Proficiency in AWS cloud services, including EC2, S3, Lambda, and Cloud Watch.
- Strong interpersonal and communication skills.
Benefits:
- A competitive salary package.
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
Others:
- We are an equal opportunities employer and welcome applications from diverse candidates.
- We offer flexible working arrangements to support work-life balance.
- We provide opportunities for career growth and development.
Bachelor's degree in engineering in Computer Science/Information Technology is required. Relevant industry certifications are highly regarded.
Key skills include hands-on experience in ETL pipeline building, knowledge of UNIX Shell Script, Oracle SQL/PL-SQL, Cloudera Hadoop (Apache Spark, Hive), and Autosys JIL, experience in Big data platform for ETL development with AWS cloud platform, proficiency in AWS cloud services, including EC2, S3, Lambda, and Cloud Watch, and strong interpersonal and communication skills.
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