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GCP Data Engineer

Fresher   Pune, All India   11 Jan, 2026
Tredence Inc
Job LocationPune, All India
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    As a GCP Data Engineer, you will be responsible for designing and implementing solutions on Google Cloud Platform (GCP) utilizing various GCP components. Your key responsibilities will include:- Implementing and architecting solutions on GCP using components such as BigQuery, SQL, Cloud Composer/Python, Cloud Functions, Dataproc with PySpark, Python Injection, Dataflow with PUB/SUB.- Experience with Apache Beam, Google Dataflow, and Apache Spark in creating end-to-end data pipelines.- Proficiency in Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.- Programming expertise in Java, Python, and other relevant technologies.- Certified in Google Professional Data Engineer/Solution Architect would be a significant advantage.Qualifications required for this role include:- Minimum of 5 years of IT or professional services experience in IT delivery or large-scale IT analytics projects.- In-depth knowledge of Google Cloud Platform; familiarity with other cloud platforms is a plus.- Expertise in SQL development and building data integration tools using cloud technologies like Snaplogic, Google Dataflow, Cloud Dataprep, and Python.- Identifying downstream implications of data loads/migration and implementing data pipelines for automation, transformation, and augmentation of data sources.- Advanced SQL writing skills, experience in data mining, ETL processes, and using databases in a complex business environment.In addition to the above, you should be able to work effectively in a dynamic business environment and provide scalable data solutions for simplified user access to extensive datasets. As a GCP Data Engineer, you will be responsible for designing and implementing solutions on Google Cloud Platform (GCP) utilizing various GCP components. Your key responsibilities will include:- Implementing and architecting solutions on GCP using components such as BigQuery, SQL, Cloud Composer/Python, Cloud Functions, Dataproc with PySpark, Python Injection, Dataflow with PUB/SUB.- Experience with Apache Beam, Google Dataflow, and Apache Spark in creating end-to-end data pipelines.- Proficiency in Python, Hadoop, Spark, SQL, BigQuery, BigTable, Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.- Programming expertise in Java, Python, and other relevant technologies.- Certified in Google Professional Data Engineer/Solution Architect would be a significant advantage.Qualifications required for this role include:- Minimum of 5 years of IT or professional services experience in IT delivery or large-scale IT analytics projects.- In-depth knowledge of Google Cloud Platform; familiarity with other cloud platforms is a plus.- Expertise in SQL development and building data integration tools using cloud technologies like Snaplogic, Google Dataflow, Cloud Dataprep, and Python.- Identifying downstream implications of data loads/migration and implementing data pipelines for automation, transformation, and augmentation of data sources.- Advanced SQL writing skills, experience in data mining, ETL processes, and using databases in a complex business environment.In addition to the above, you should be able to work effectively in a dynamic business environment and provide scalable data solutions for simplified user access to extensive datasets.

Keyskills :
SQLApache SparkPythonHadoopSparkBigTableCloud StorageMachine LearningJavaBigQueryCloud ComposerPythonCloud FunctionsDataproc with PySparkPython InjectionDataflow with PUBSUBApache BeamGoogle DataflowDatastoreSpannerCloud SQLSnaplogic

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