Senior Data Engineer
2 weeks ago
Your skills and qualifications:
- Minimum of
5–7 years of working experience - Experience with the technical analysis, design, development, and implementation of Data Lake and cloud solutions.
- Hands-on experience in Hadoop
and
cloud technologies (eg. Snowflake)
; strong RDBMS concepts and SQL skills. - Experience in Data Analytics tools, preferably with DataIKU.
- Strong UNIX
Shell scripting or Python experience
to support data warehousing solutions. - Process-oriented, focused on standardization, streamlining, and implementation of best practices delivery approach.
- Excellent problem-solving and analytical skills.
it would be nice if you have:
- Experience with detailed error/exception handling and data validation issues.
- Experience with common data science tools (Tableau, Business Objects) and a good understanding of modeling platforms (e.g., Databricks).
- Strong understanding of data warehousing domain.
Your responsibilities will be:
- Design and development of Cloud/Hadoop solutions.
- Undertake end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that the end solution meets business needs and expectations.
- Analyze existing designs and interfaces and apply design modifications or enhancements.
- Provide insights and resolution for ad-hoc issues raised by users.
- Test software components and complete solutions (including debugging and troubleshooting) and prepare migration documentation.
- Provide reporting-line transparency through periodic updates on project or task status.
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