The Data Engineer will design and implement data pipelines and architectures using GCP, focusing on data warehousing and analytics platforms while leveraging strong Python and SQL skills.
Data Specialist
Primary Skills
- ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals
Job requirements
- 5 years of experience in software design and development 3 years of experience in the data engineering field is preferred
- 3 years of Hands-on experience in GCP cloud data implementation suite such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, Strong experience and understanding of very large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms.
- Hands on Strong Experience in the below technology
- 1. GBQ Query
- 2. Python
- 3. Apache Airflow
- 4. SQL (BigQuery preferred) Extensive hands-on experience working with data using SQL and Python Cloud Functions.
- Comparable skills in AWS and other cloud Big Data Engineering space is considered.
- Experience with agile development methodologies Excellent verbal and written communications skills with the ability to clearly present ideas, concepts, and solutions
- Bachelor's Degree in Computer Science, Information Technology, or closely related discipline
Top Skills
Apache Airflow
BigQuery
Cloud Logging
Cloud Storage
Cloud Trace
Composer
Data Catalog
Data Warehousing
Dataflow
Datafusion
Dataproc
ETL
Plsql
Python
SQL
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