GCP Data Engineer| 5-8 Yrs| WFO

Role GCP Data Engineer

Experience:5~8 years

Preferred - Data Engineering Background

Location - Chennai, Pune, Kolkata, Hyderabad

Immediate joiners only

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

# of roles - 2

Work Mode- C2H (after 8 months)

Here is the job description for the same -

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:

• 5~8 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