Data Engineer
2 weeks ago
Data Engineer
Key requirements: Extensive experience in database technologies and data warehousing, Extensive experience in SQL and Python, Experience in NoSQL databases and search engines
FLNT is looking for a Data engineer to join the growing team of analytics experts to create the infrastructure for accurate data collection, processing and analysis. As an experienced data engineer, you will help us build the next generation of data analytics solutions. You will join a cross-functional Agile team with a diverse range of skills which you'll be able to leverage to develop your own skillset and grow your career.
Key responsibilities & duties
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Create and maintain optimal data pipeline architecture
Identify, design, and implement data processing improvements - optimizing data delivery, re-designing infrastructure for greater scalability
Own features that you develop end to end, develop and test your code, implement new processes in production and maintain them over time
Design data warehouse solutions to support ETL processes and data analytics applications
Advise on data management practices, approaches and frameworks
Demonstrate technical expertise in data quality, governance and architecture
Develop SQL/NoSQL database queries, stored procedures, triggers, analytics functions
Keep up-to-date with latest technology trends
Effectively communicate results and ideas to key decision makers including technical and non-technical people
About you:
Extensive experience in database technologies and data warehousing
Extensive experience in SQL and Python
Experience in automation of data collection and transformation
Experience in NoSQL databases and/or search engines (e.g. Elasticsearch, MongoDB)
Familiarity with cloud computing (Azure) is a big plus
Experience in working with and developing APIs
Education: BSc/MSc degree in Computer Science, Engineering, or a related field
Able to collaborate with developers and other stakeholders to build end-to-end data pipelines and production codes
Ability to deal with ambiguity and communicate well with both technical and non-technical teams
Strong problem-solving skills with an emphasis on product development
Bonus Points:
Familiarity with Docker
Experience in distributed computing framework (e.g. Spark, Hadoop)
Experience in workflow management tools (e.g. Airflow, Luigi)
Familiarity with cloud analytics platforms (e.g. Databricks) or cloud data warehousing (e.g. Snowflake)
Familiarity with .NET framework
Hybrid work experience – Work once a week onsite (Thursday or Friday)
Job Types: Full-time, Permanent
Pay: Php50, Php70,000.00 per month
Benefits:
- Additional leave
- Company events
- Health insurance
Work Location: In person
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