L4- GCP Staff Data Engineer

1 week ago

Bengaluru, Karnataka, India Tredence Inc. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role description

**Role – GCP
Staff
Data Engineer

Experience:
8 - 13 years

Preferred - Data Engineering Background

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

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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