Associate

About the role

The Associate will participate in the planning and execution of the migration of data infrastructure from on-premises Hadoop/Cloudera to Google Cloud Platform (GCP).

Responsibilities

• Conduct data transformation using Hive and Impala and leverage Python for data analytics, including data science libraries, Pandas, NumPy, and scikit-learn.
• Produce visualizations and interactive dashboards using Tableau, Python, Matplotlib, and Seaborn.
• Utilize Google Cloud Platform (GCP) and services, including BigQuery, Dataflow, and Pub/Sub to facilitate cloud migration and data processing.
• Migrate on-premises big data solutions to GCP and architect scalable and secure cloud-native data infrastructure.
• Implement continuous integration/continuous delivery (CI/CD) pipelines using JIRA, Git, BitBucket, SonarQube, Artifactory, and Jenkins.
• Write BDD test cases using Cucumber and Gherkin language for automated testing.
• Analyze KYC review (EDR, PR) processes, utilizing SQL, Python (pandas, NumPy), and Apache Spark.
• Analyze data processing workflows, data warehousing, and data lakes to interpret data and drive insights.

Requirements

• Bachelor’s degree in Data Science, or related field.
• Two (2) years of experience using Jira for task management, Confluence for documentation, and Git for version control.
• Experience with Google Cloud Platform (GCP) and services, including BigQuery, Dataflow, and Pub/Sub.
• Experience with big data tools, including Hadoop (Cloudera), Spark, Kafka, Sqoop, Scala, and Dataproc.

Qualifications

• Experience with Python for data analytics, including data science libraries, Pandas, NumPy, and scikit-learn.
• Experience with Tableau for producing visualizations and interactive dashboards.
• Experience with Google Cloud Platform (GCP) and services, including BigQuery, Dataflow, and Pub/Sub.
• Experience with big data tools, including Hadoop (Cloudera), Spark, Kafka, Sqoop, Scala, and Dataproc.

Skills

• Proficiency in Python for data analytics, including data science libraries, Pandas, NumPy, and scikit-learn.
• Experience with Tableau for producing visualizations and interactive dashboards.
• Experience with Google Cloud Platform (GCP) and services, including BigQuery, Dataflow, and Pub/Sub.
• Experience with big data tools, including Hadoop (Cloudera), Spark, Kafka, Sqoop, Scala, and Dataproc.

Benefits

This position is eligible for Deutsche Bank's Employee Referral Incentive Program.

Pay

$127,812.00 - $129,500.00/year.

Schedule

N/A