Hello,
This is Pradeep from iTech US. We have a position for our client.
This is Pradeep from iTech US. We have a position for our client.
GCP Data Engineer with ADF
Bentonville, AR (Day One Onsite)
12 Months
Bentonville, AR (Day One Onsite)
12 Months
Job Description:
3+ years of experience as a Data Engineer, with strong proficiency in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub) and Azure Data Factory.
Hands-on experience building, maintaining, and optimizing data pipelines and workflows.
3+ years of experience as a Data Engineer, with strong proficiency in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub) and Azure Data Factory.
Hands-on experience building, maintaining, and optimizing data pipelines and workflows.
Technical Skills:
Strong experience with SQL for querying and transforming large datasets.
Proficiency in programming languages such as Python, Scala, or Java for data processing.
Experience with big data frameworks like Apache Spark, Databricks, or Hadoop.
Familiarity with Google Cloud Storage, Azure Data Lake, and Azure Blob Storage.
Strong experience with SQL for querying and transforming large datasets.
Proficiency in programming languages such as Python, Scala, or Java for data processing.
Experience with big data frameworks like Apache Spark, Databricks, or Hadoop.
Familiarity with Google Cloud Storage, Azure Data Lake, and Azure Blob Storage.
Tools & Technologies:
BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage.
Azure: Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks.
Experience with version control (e.g., Git).
BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Storage.
Azure: Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks.
Experience with version control (e.g., Git).
Preferred Skills:
Experience with data streaming technologies like Apache Kafka or Google Pub/Sub.
Experience working with data warehousing solutions (e.g., BigQuery, Azure Synapse).
Experience with cloud security and compliance practices.
Experience with data streaming technologies like Apache Kafka or Google Pub/Sub.
Experience working with data warehousing solutions (e.g., BigQuery, Azure Synapse).
Experience with cloud security and compliance practices.
Preferred Qualifications:
Certifications in Google Cloud (e.g., Professional Data Engineer) and/or Microsoft Azure (e.g., Azure Data Engineer Associate).
Certifications in Google Cloud (e.g., Professional Data Engineer) and/or Microsoft Azure (e.g., Azure Data Engineer Associate).
Thanks & Regards,
Pradeep.
Pradeep.
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