Data Engineer/ Remote 100% 6 mth+ contract
MUST HAVE A SOLID LINKEDIN PROFILE. I need them to come from large environments.
6+ months 100% remote
Prefer candidates to have 2+ years of AWS and 5+ years of ETL. Migrating from SQL to AWS and need candidates that have been through the full life cycle of migrating data.
Job Description:
The Senior Data Engineer, equipped with strong ETL and data wrangling experience will drive data ingestion and management of data pipelines for the Data Driven Marketing business. This role requires a high level of collaboration with Product Management, Data science and Compliance organizations. This person will participate in data asset management, regulatory compliance, internal and external audits associated with supplier and/or customer data.
Job Responsibilities:· Manage all data pipelines execution, management, monitoring and issues resolution.· Work with Data Engineering to implement data pipelines.· Maintain and document data flow specifications for all supplier and/or customer data.· Lead and participate in data acquisition initiatives.· Participate in product management activities to meet the data needs associated with new products or servicesBasic Qualifications:
Education and Experience: Bachelor's and 3 years or HS/GED and 7 years· Expert in Microsoft ETL data ingestion framework specifically SQL Server, SSIS DevOps.· Expert in SQL server development and management tools.· Expert in file management, data storage management and operations on premise and cloud.· Solid understanding of data warehousing and archiving tools.· Solid understanding of Apache Spark operations and monitoring.· Solid understanding of high-volume data processing frameworks on premise and Cloud.· Familiarity with data pipeline management frameworks on AWS.· Familiarity with Python, R scripting and IDEs like Jupitar notebook, RStudio.Preferred Qualifications:
Education: Bachelors Degree in Computer Science or related field
Experience: 5 years of data ingestion and pipeline management· Familiarity with open-source data wrangling tools and technologies.· Familiarity with data access control and management tools.· Familiarity with Apache Hadoop, Hive, Impala etc.· Familiarity with NoSQL databases like MongoDB, Graph databases like Neo4j, Amazon Neptune etc.· Expertise in data pipeline management on any 1 Cloud (Amazon AWS, Microsoft Azure, Google Cloud).· Worked in data supply chain management for a large data aggregator.· Worked in data driven marketing businesses.
Apply Now
6+ months 100% remote
Prefer candidates to have 2+ years of AWS and 5+ years of ETL. Migrating from SQL to AWS and need candidates that have been through the full life cycle of migrating data.
Job Description:
The Senior Data Engineer, equipped with strong ETL and data wrangling experience will drive data ingestion and management of data pipelines for the Data Driven Marketing business. This role requires a high level of collaboration with Product Management, Data science and Compliance organizations. This person will participate in data asset management, regulatory compliance, internal and external audits associated with supplier and/or customer data.
Job Responsibilities:· Manage all data pipelines execution, management, monitoring and issues resolution.· Work with Data Engineering to implement data pipelines.· Maintain and document data flow specifications for all supplier and/or customer data.· Lead and participate in data acquisition initiatives.· Participate in product management activities to meet the data needs associated with new products or servicesBasic Qualifications:
Education and Experience: Bachelor's and 3 years or HS/GED and 7 years· Expert in Microsoft ETL data ingestion framework specifically SQL Server, SSIS DevOps.· Expert in SQL server development and management tools.· Expert in file management, data storage management and operations on premise and cloud.· Solid understanding of data warehousing and archiving tools.· Solid understanding of Apache Spark operations and monitoring.· Solid understanding of high-volume data processing frameworks on premise and Cloud.· Familiarity with data pipeline management frameworks on AWS.· Familiarity with Python, R scripting and IDEs like Jupitar notebook, RStudio.Preferred Qualifications:
Education: Bachelors Degree in Computer Science or related field
Experience: 5 years of data ingestion and pipeline management· Familiarity with open-source data wrangling tools and technologies.· Familiarity with data access control and management tools.· Familiarity with Apache Hadoop, Hive, Impala etc.· Familiarity with NoSQL databases like MongoDB, Graph databases like Neo4j, Amazon Neptune etc.· Expertise in data pipeline management on any 1 Cloud (Amazon AWS, Microsoft Azure, Google Cloud).· Worked in data supply chain management for a large data aggregator.· Worked in data driven marketing businesses.
Apply Now