
Expert Data Solution Architect
19 hours ago
As a Staff Data Engineer, you will be responsible for designing and implementing end-to-end data-centric solutions that meet customer needs. You will work with key stakeholders to identify opportunities to improve our technical solutions and processes.
Key Responsibilities:
- Build strong relationships with business and technical stakeholders to improve engineering standards and drive better technical outcomes.
- Identify opportunities to improve our technical solutions and processes, and develop strategies to address them.
- Design and implement ETL solutions using approved frameworks and technologies.
- Collaborate with cross-functional teams to ensure adherence to client guidelines.
- Participate in agile project lifecycles, from ideation to implementation.
- Adhere to industry best practices and the Code of Conduct.
- Influence stakeholders to ensure solutions are robust, secure, and highly available.
- Uplift the quality of technical solutions through continuous improvement.
- Contribute to delivery planning and guide team members in achieving technical deliveries aligned with engineering direction.
- Role model a continuous improvement mindset and demonstrate strong mentorship capabilities.
Essential Skills and Qualifications:
- Hands-on experience in ETL pipeline building with Spark or Scala programming framework, 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.
- Hands-on experience with Teradata data warehouses and Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau.
- Strong interpersonal and communication skills.
Well-regarded Skills and Qualifications:
- Experience with Oracle SQL database performance tuning and relational model analysis.
- Experience working within a Data Delivery Life Cycle framework and Agile Methodology.
- Experience working with Snowflake and Python-based framework development.
- Knowledge of using AI tools, self-starter, autonomous working, and problem-solving skills.
Education/Qualifications:
Bachelor's degree in engineering in Computer Science/Information Technology is preferred but not required.
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