Senior Data Engineer
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
16 days ago
Vacancies:
1 Vacancy
Job Summary
Only W2 Candidates required Initial screening/ Glider is required for this role
Senior Data Engineer
Location Sunnyvale CA
Onsite Requirement - Y/N- Y
Number of days onsite 5 Days
If Onsite Office Address
Rate :: 60-65/hr on w2 Max
Mandatory Areas
Must Have Skills Data Engineer
Skill 1 big data spark pyspark apache airflow etl process
Skill 2 4 years in GCP
Description:
- We are seeking a Data Engineer with Spark & Streaming skills builds real-time scalable data pipelines using tools like Spark Kafka and cloud services (GCP) to ingest transform and deliver data for analytics and ML.
Responsibilities:
- As a Senior Data Engineer you will Design develop and maintain ETL/ELT data pipelines for batch and real-time data ingestion transformation and loading using Spark (PySpark/Scala) and streaming technologies (Kafka Flink).
- Build and optimize scalable data architectures including data lakes data warehouses (Big Query) and streaming platforms.
- Performance Tuning: Optimize Spark jobs SQL queries and data processing workflows for speed efficiency and cost-effectiveness Data Quality: Implement data quality checks monitoring and alerting systems to ensure data accuracy and consistency. Required Skills & Qualifications: Programming: Strong proficiency in Python SQL and potentially Scala/Java.
- Big Data: Expertise in Apache Spark (Spark SQL DataFrames Streaming).
- Streaming: Experience with messaging queues like Apache Kafka or Pub/Sub.
- Cloud: Familiarity with GCP Azure data services. Databases: Knowledge of data warehousing (Snowflake Redshift) and NoSQL databases.
- Tools: Experience with Airflow Databricks Docker Kubernetes is a plus.
- Experience Level Total IT Experience - Minimum 8 years GCP - 4 years of recent GCP experience