Google Cloud Platform Bigdata Engineer
Job Description :
Looking for a Senior Software Engineer with strong analytical skills to help build and enhance our Big data application.
This individual s day-to-day work will involve using Java, Scala, SQL, Big Data, Linux, git, and maven/gradle to design and build software solutions that are fast, scalable, and flexibleNoSQL databases such as MapR DB, HBase, CassandraBig Data Components/Frameworks such as Hadoop (MapR), Spark, YarnBig Data querying tools such HiveExperience in Big Query and Google Cloud Platform-Cloud computing
Responsibilities:
1.
Design, build, and deploy scalable and robust data pipelines using Google Cloud Dataflow.
2.
Harness the capabilities of BigQuery for data analytics, ensuring optimized performance and cost efficiency.
3.
Manage workflow orchestration and automation using Cloud Composer.
4.
Monitor, troubleshoot, and optimize data pipelines for performance, ensuring data quality and integrity.
5.
Stay updated with Google Cloud Platform's latest features and best practices to ensure the company's data infrastructure remains cutting-edge.
6.
Document data architectures, processes, and data lineage for transparency and maintainability.
Qualifications:
1.
4
years of experience as a data engineer with significant exposure to the Google Cloud Platform.
2.
Strong expertise in Google Cloud Platform tools, particularly Dataflow, BigQuery, and Cloud Composer.
3.
Strong Google Cloud Platform Dataflow, Java/Python & beam skills, Lead experience for delivery streams.
4.
Experience in working with streaming / messaging systems like Kafka, Pulsar, Google Cloud Platform PubSub, RabbitMQ and similar tools.
Including connectors for systems like Cassandra.
5.
Familiarity with other Google Cloud Platform services such as Cloud Storage, and Dataproc.
.
6.
Strong analytical and problem-solving skills.
7.
Familiarity with other cloud platforms (e.
g.
, AWS, Azure) is a plus.
8.
Excellent communication skills, both written and verbal.
9.
Bachelor's degree in Computer Science, Engineering, or a related field.
Google Cloud Platform Bigdata Engineer Recommended Skills Analytical Apache H Base Apache Hadoop Apache Hive Apache Kafka Apache Maven Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
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on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3p6m66wq00br73tc9k', 'ExternalApply-j3p6m66wq00br73tc9k'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
Looking for a Senior Software Engineer with strong analytical skills to help build and enhance our Big data application.
This individual s day-to-day work will involve using Java, Scala, SQL, Big Data, Linux, git, and maven/gradle to design and build software solutions that are fast, scalable, and flexibleNoSQL databases such as MapR DB, HBase, CassandraBig Data Components/Frameworks such as Hadoop (MapR), Spark, YarnBig Data querying tools such HiveExperience in Big Query and Google Cloud Platform-Cloud computing
Responsibilities:
1.
Design, build, and deploy scalable and robust data pipelines using Google Cloud Dataflow.
2.
Harness the capabilities of BigQuery for data analytics, ensuring optimized performance and cost efficiency.
3.
Manage workflow orchestration and automation using Cloud Composer.
4.
Monitor, troubleshoot, and optimize data pipelines for performance, ensuring data quality and integrity.
5.
Stay updated with Google Cloud Platform's latest features and best practices to ensure the company's data infrastructure remains cutting-edge.
6.
Document data architectures, processes, and data lineage for transparency and maintainability.
Qualifications:
1.
4
years of experience as a data engineer with significant exposure to the Google Cloud Platform.
2.
Strong expertise in Google Cloud Platform tools, particularly Dataflow, BigQuery, and Cloud Composer.
3.
Strong Google Cloud Platform Dataflow, Java/Python & beam skills, Lead experience for delivery streams.
4.
Experience in working with streaming / messaging systems like Kafka, Pulsar, Google Cloud Platform PubSub, RabbitMQ and similar tools.
Including connectors for systems like Cassandra.
5.
Familiarity with other Google Cloud Platform services such as Cloud Storage, and Dataproc.
.
6.
Strong analytical and problem-solving skills.
7.
Familiarity with other cloud platforms (e.
g.
, AWS, Azure) is a plus.
8.
Excellent communication skills, both written and verbal.
9.
Bachelor's degree in Computer Science, Engineering, or a related field.
Google Cloud Platform Bigdata Engineer Recommended Skills Analytical Apache H Base Apache Hadoop Apache Hive Apache Kafka Apache Maven Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3p6m66wq00br73tc9k', 'ExternalApply-j3p6m66wq00br73tc9k'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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