Future Opportunity- Azure Data Engineer
Country:
United StatesCities:
Denver, Los Angeles, Phoenix, Portland, SeattleArea of expertise:
AnalyticsJob DescriptionRECRUITING FOR THE FUTUREThis posting is for a future job opportunity.
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below, as we continue to build on another year of growth in our business.
Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future.
What does this mean for you? We encourage you to apply and interview for this role without the need to decide now.
This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first know.
Data Engineering Senior ConsultantDo you enjoy making sure that information is accessible and easy to use? So do we.
You're a data designer who knows how to find, store and present a range of information from different sources so that everyone can access what they need quickly and simply, and use it effectively.
About you:
You draw on your considerable experience in bringing data and statistics to life to solve sometimes complex problems, and you're comfortable looking after several projects at once.
You're able to make your own decisions while at the same time supporting more junior team members.
About the job:
Working in Data Engineering, you know the importance of data to business.
You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making.
You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis.
Day to day, you will:
Use your knowledge to plan and deliver data warehouse and storage Take part in designing and running bespoke data services for individual projects Stay up to date with business best practice in using and retrieving data Design, develop, adapt and maintain data warehouse architecture and relational databases that support data mining Customize storage and extraction, metadata, and information repositories Create and use effective metrics and monitoring processes Help to develop business intelligence tools Support deal teams by providing subject knowledge and solutions for client proposals Author reports that include key performance indicators, show where current operations can be improved, and identify the causes of any problems Create and maintain report forms and formats, information dashboards, data generators and canned reports, as well as other information portals and resources Travel as required.
Your skills:
You're got great experience in data and analysis, and how to source, store and share information.
You're a problem solver who's happy to work autonomously and to share their knowledge and skills, as well as guiding other team members.
Manage data pipelines:
assist in creation of end-to-end data pipelines from external and internal sources to the data warehouse; create new pipelines, recreate config files as needed.
Manage jobs:
Create automation jobs (e.
g.
Azure Data Factory) to normalize and prepare data to be consumed by analytics and the business.
Platform administration:
Administration of existing in-house databases running in Azure, Make and implement recommendations for optimization and monitoring.
Provide subject-matter expertise on best practices for data and platform management, and technology adoption Collaboration:
Work closely with data analysts to ensure the data model consistently feeds the desired end-user reports and queries Data governance:
Experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls Knowledge of Python and PySpark Advanced knowledge in entity and relationship extraction from unstructured data Understanding of database table indexing, with emphasis on clustered columnstore tables Proficient in data handling, understanding, analysis and interpretation of results Experience with SQL technologies:
Databricks (Spark), OR Azure Synapse Data security:
Must be able to demonstrate an understanding of data security at rest and in transit Scale:
Deliver performance at scale, and accurately anticipate system enhancement needs Data integrity:
Data manipulation, error identification and handling, and modeling Compensation for roles at Avanade varies depending on a wide array of factors including but not limited to the specific office location, role, skill set and level of experience.
As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired in New York as set forth below and information on benefits offered is here.
Range of Starting Pay for role:
Denver, CO:
99,450 to 117,000Los Angeles, CA:
114,750 to 135,000Seattle, WA:
114,750 to 135,000 Recommended Skills Administration Apache Spark Automation Business Intelligence Dashboard Data Analysis Estimated Salary: $20 to $28 per hour based on qualifications.
United StatesCities:
Denver, Los Angeles, Phoenix, Portland, SeattleArea of expertise:
AnalyticsJob DescriptionRECRUITING FOR THE FUTUREThis posting is for a future job opportunity.
To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below, as we continue to build on another year of growth in our business.
Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future.
What does this mean for you? We encourage you to apply and interview for this role without the need to decide now.
This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first know.
Data Engineering Senior ConsultantDo you enjoy making sure that information is accessible and easy to use? So do we.
You're a data designer who knows how to find, store and present a range of information from different sources so that everyone can access what they need quickly and simply, and use it effectively.
About you:
You draw on your considerable experience in bringing data and statistics to life to solve sometimes complex problems, and you're comfortable looking after several projects at once.
You're able to make your own decisions while at the same time supporting more junior team members.
About the job:
Working in Data Engineering, you know the importance of data to business.
You design and set up projects that bring together information from a variety of sources, to enable analysis and decision-making.
You make sure that data is accessible and easy to use, so that it can be used for routine and ad-hoc analysis.
Day to day, you will:
Use your knowledge to plan and deliver data warehouse and storage Take part in designing and running bespoke data services for individual projects Stay up to date with business best practice in using and retrieving data Design, develop, adapt and maintain data warehouse architecture and relational databases that support data mining Customize storage and extraction, metadata, and information repositories Create and use effective metrics and monitoring processes Help to develop business intelligence tools Support deal teams by providing subject knowledge and solutions for client proposals Author reports that include key performance indicators, show where current operations can be improved, and identify the causes of any problems Create and maintain report forms and formats, information dashboards, data generators and canned reports, as well as other information portals and resources Travel as required.
Your skills:
You're got great experience in data and analysis, and how to source, store and share information.
You're a problem solver who's happy to work autonomously and to share their knowledge and skills, as well as guiding other team members.
Manage data pipelines:
assist in creation of end-to-end data pipelines from external and internal sources to the data warehouse; create new pipelines, recreate config files as needed.
Manage jobs:
Create automation jobs (e.
g.
Azure Data Factory) to normalize and prepare data to be consumed by analytics and the business.
Platform administration:
Administration of existing in-house databases running in Azure, Make and implement recommendations for optimization and monitoring.
Provide subject-matter expertise on best practices for data and platform management, and technology adoption Collaboration:
Work closely with data analysts to ensure the data model consistently feeds the desired end-user reports and queries Data governance:
Experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls Knowledge of Python and PySpark Advanced knowledge in entity and relationship extraction from unstructured data Understanding of database table indexing, with emphasis on clustered columnstore tables Proficient in data handling, understanding, analysis and interpretation of results Experience with SQL technologies:
Databricks (Spark), OR Azure Synapse Data security:
Must be able to demonstrate an understanding of data security at rest and in transit Scale:
Deliver performance at scale, and accurately anticipate system enhancement needs Data integrity:
Data manipulation, error identification and handling, and modeling Compensation for roles at Avanade varies depending on a wide array of factors including but not limited to the specific office location, role, skill set and level of experience.
As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired in New York as set forth below and information on benefits offered is here.
Range of Starting Pay for role:
Denver, CO:
99,450 to 117,000Los Angeles, CA:
114,750 to 135,000Seattle, WA:
114,750 to 135,000 Recommended Skills Administration Apache Spark Automation Business Intelligence Dashboard Data Analysis Estimated Salary: $20 to $28 per hour based on qualifications.
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