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GCP data engineer

GCP data engineer

Prodapt

3 - 4 years

10 - 11 Lacs

gonda chennai

Posted:-1 days ago| Platform:

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Skills Required

data migration data modeling agile workflow data quality teradata analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and implement complex ETL/ELT pipelines using PySpark and Airflow for large-scale data processing on GCP
Lead data migration initiatives, including automating the movement of Teradata tables to BigQuery, ensuring data accuracy and consistency

Develop robust frameworks to streamline batch and streaming data ingestion workflows, leveraging Kafka, Dataflow, and NiFi

Collaborate with data scientists to build ML-ready data layers and support analytics solutions

Conduct proof of concepts (POCs) and document performance benchmarking for data throughput and velocity, ensuring optimized data workflows

Enhance CI/CD pipelines using Jenkins and GitLab for efficient deployment and monitoring of data solutions

Collaborate in agile teams for product development and delivery

Ability to work independently and design data integrations and data quality framework

Responsibilities

Strong proficiency in Python and SQL for data engineering tasks

Strong understanding and experience with distributed computing principles and frameworks like Hadoop, Apache Spark etc

Advanced experience with GCP services, including BigQuery, Dataflow, Cloud Composer (Airflow), and Dataproc

Expertise in data modeling, ETL/ELT pipeline development, and workflow orchestration using Airflow DAGs

Hands-on experience with data migration from legacy systems (Teradata, Hive) to cloud platforms (BigQuery)

Familiarity with streaming data ingestion tools like Kafka and NiFi

Strong problem-solving skills and experience with performance optimization in large-scale data environments

Proficiency in CI/CD tools (Jenkins, GitLab) and version control systems (Git)

GCP Professional Data Engineer certification

Requirements

Develop robust frameworks to streamline batch and streaming data ingestion workflows, leveraging Kafka, Dataflow, and NiFi

Collaborate with data scientists to build ML-ready data layers and support analytics solutions

Conduct proof of concepts (POCs) and document performance benchmarking for data throughput and velocity, ensuring optimized data workflows

Enhance CI/CD pipelines using Jenkins and GitLab for efficient deployment and monitoring of data solutions

Collaborate in agile teams for product development and delivery

Ability to work independently and design data integrations and data quality framework
Strong proficiency in Python and SQL for data engineering tasks

Strong understanding and experience with distributed computing principles and frameworks like Hadoop, Apache Spark etc

Advanced experience with GCP services, including BigQuery, Dataflow, Cloud Composer (Airflow), and Dataproc

Expertise in data modeling, ETL/ELT pipeline development, and workflow orchestration using Airflow DAGs

Hands-on experience with data migration from legacy systems (Teradata, Hive) to cloud platforms (BigQuery)

Familiarity with streaming data ingestion tools like Kafka and NiFi

Strong problem-solving skills and experience with performance optimization in large-scale data environments

Proficiency in CI/CD tools (Jenkins, GitLab) and version control systems (Git)

GCP Professional Data Engineer certification

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GCP data engineer