Senior Data Engineer
Primary Skills
- ETL Fundamentals, SQL, BigQuery, SQL (Basic + Advanced), Dataprep, Python, Data Warehousing, DataStudio, Composer, Dataflow, Dataplex, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- GCP Data Architecture: Data Engineer
Job requirements
- Job description below. • 4+ 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 o 1. GBQ Query o 2. Python o 3. Apache Airflow o 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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