Data Engineering Manager (Architecture) at Molson Coors Brewing Company in Milwaukee, WI
In the role of Data Engineering Manager (Architecture) working in Milwaukee, WI you will be part of the Data Integration and Management team. The person will maintain and implement standards for data integration and driving solutions for projects and uses cases, while identifying opportunities for improvement or use of new technologies. Additionally, the role will collaborate with functional business leaders to define solutions to address business needs and oversee solution implementation by internal and third-party resources. The
Responsibilities:
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional(self-service) / non-functional business requirements using Informatica (IICS). Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources like Teradata, Salesforce, and other disparate SQL sources to ADLS Gen 2 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Keep our data separated and secure across different environments like DEV, QA & PROD. Create data tools for analytics and data science teams and assist them in building and optimizing their use case. Work with data and analytics experts to strive for greater functionality in our data systems. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of data sources. Strong analytic skills related to working with unstructured datasets & file systems like ADLS Gen2 Experience building and optimizing CICD data pipelines, architectures and data sets on AZURE or AWS or GCP. Experience performing root cause analysis on internal & external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large, disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Experience supporting and working with cross-functional teams in a dynamic environment. Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. The
Qualifications:
We are looking for a candidate with 5
years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
Experience with ETL tools:
Informatica IICS, Informatica DEI BDM, Business Objects Data Services (BODS) Experience with object-oriented/object function scripting languages:
Python, Java, C++, Scala, etc. Experience with big data tools:
Hadoop, Spark, Kafka etc. OR if you have Databricks experience that is a plus. Experience with relational SQL and NoSQL databases:
SQL Server, ADLS, Postgres. Good to Have:
Experience with data pipeline and workflow management tools:
Airflow, Azkaban, or Luigi etc. Experience with Azure cloud services:
Azure Data Factory (ADF), Azure Functions for API development Experience with stream-processing systems:
Spark-Streaming, STORM etc.
Salary Range:
$200K -- $250K
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
Responsibilities:
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional(self-service) / non-functional business requirements using Informatica (IICS). Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources like Teradata, Salesforce, and other disparate SQL sources to ADLS Gen 2 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Keep our data separated and secure across different environments like DEV, QA & PROD. Create data tools for analytics and data science teams and assist them in building and optimizing their use case. Work with data and analytics experts to strive for greater functionality in our data systems. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of data sources. Strong analytic skills related to working with unstructured datasets & file systems like ADLS Gen2 Experience building and optimizing CICD data pipelines, architectures and data sets on AZURE or AWS or GCP. Experience performing root cause analysis on internal & external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large, disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Experience supporting and working with cross-functional teams in a dynamic environment. Work with stakeholders including the Executives, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. The
Qualifications:
We are looking for a candidate with 5
years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
Experience with ETL tools:
Informatica IICS, Informatica DEI BDM, Business Objects Data Services (BODS) Experience with object-oriented/object function scripting languages:
Python, Java, C++, Scala, etc. Experience with big data tools:
Hadoop, Spark, Kafka etc. OR if you have Databricks experience that is a plus. Experience with relational SQL and NoSQL databases:
SQL Server, ADLS, Postgres. Good to Have:
Experience with data pipeline and workflow management tools:
Airflow, Azkaban, or Luigi etc. Experience with Azure cloud services:
Azure Data Factory (ADF), Azure Functions for API development Experience with stream-processing systems:
Spark-Streaming, STORM etc.
Salary Range:
$200K -- $250K
Minimum Qualification
Data Science & Machine Learning, Technology ManagementEstimated Salary: $20 to $28 per hour based on qualifications.
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