GCP Staff Data Engineer

1 week ago

Bengaluru, Karnataka, India Tredence Inc. Full time

Role – GCP Staff Data Engineer

Experience: 8 - 13 years

Notice Period: Immediate to max 45 days

Preferred - Data Engineering Background

Location –Bangalore, Chennai, Hyderabad, Kolkata, Pune, Gurgaon

Required Skills - GCP DE Experience, Big query, SQL, Cloud compressor/Python, Cloud functions, Dataproc+pyspark, Python injection, Dataflow+PUB/SUB

Job Requirement:

· Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP

· Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.

· Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.

· Experience programming in Java, Python, etc.

· Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.

· Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage

Skills Required:

· 8+ years' experience in IT or professional services experience in IT delivery or large-scale IT analytics projects

· Candidates must have expertise knowledge of Google Cloud Platform; the other cloud platforms are nice to have.

· Expert knowledge in SQL development.

· Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).

· Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.

· Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.

· Experience programming in Java, Python, etc.

· Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)

· Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.

· Capability to work in a rapidly changing business environment and to enable simplified user access to massive data by building scalable data solutions

· Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets.

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