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SQL Data Engineer Python ETL
- Collaborate with TechX Data Architect, Data Engineer, Data Analyst, and Data Scientist to design, implement, and tackle data warehouse, data analytics and Data Lake challenges on a massive scale, by leveraging modern microservices architecture and AWS data services. - Focus on automation and optimization for all aspects of data platform maintenance and deployment, with a special emphasis on data pipeline, big data processing, data platform design, and self-service analytics. - Dive into unique and non-standard business problems, work closely with both technical and business teams, and apply creative problem-solving skills to deliver actionable insights.
- Bachelor's degree in computer science, Info Systems, Business, or related field. - Minimum of 3 years in Data Engineering - Experience with one or more query languages (SQL), schema definition languages (e.g., DDL), and scripting languages (Python and Terraform) to build innovative data solutions. - Proficiency or first experience in technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, and extracting value from vast datasets. - Exposure to distributed system concepts, particularly from a data storage and computing perspective (e.g., data lake architectures). Initial hands-on experience with AWS Big Data Services such as S3, Glue, Athena, Lambda, EMR, RDS, and Redshift. - Familiarity with at least one business intelligence reporting tool (Tableau, Quicksight, PowerBI). - Basic knowledge of DBA tasks and SQL performance tuning.
- Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged. - Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies. - Competitive Package: Competitive salary and benefits package - Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.
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