Interface with data scientists, product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company
Expertise in building out data pipelines, efficient ETL/ELT design, implementation, and maintenance
Work with a variety of data sources - extracting knowledge and actionable information from massive datasets
Implement enterprise integrations that result in a scalable, flexible, and highly available Solutions
Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
Create data models and speak to the tradeoffs of different modeling approaches
Perform extensive data validation/quality assurance analysis within large datasets
Build proactive data validation automation to catch data integrity issues
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Ability to organize and lead meetings with business and operational data owners
Coordinate and communicate between business users and the data warehouse organization to solve business problems
Strong ability to troubleshoot and resolve data issues
Ability to build tabular and/or visualization reports as needed
Work independently and with team members to understand database structure and business processes
Work within an Agile methodology to design, develop, test, and implement analytics and reporting features and functions
Create queries to provide ad hoc reports, analysis, and datasets based on business needs.
Takes the initiative to work with other cross functional teams to solve business problems.
3 to 6 years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
3+ years of hands-on experience in writing complex, highly optimized SQL queries across large data sets.
2+ years of experience in scripting languages like Python etc.
3+ years of working experience in building and optimizing data pipelines, architectures and data sets.
Experience with integration of data from multiple data sources like APIs, JSON and any other databases, Flat-files, Spreadsheets.
Ability to understand, consume and use APIs, JSON, Webservices for Data pipelines.
Extensive experience in Data warehouse such as Teradata/Oracle/Snowflake/Amazon Redshift, Snowflake would be most preferred.
Extensive experience with Data Integration tools – Azure Data Factory/ Matillion/Jitterbit /Denodo would be most preferred.
Design data architecture structures necessary to support BI initiatives.
Strong knowledge in SQL, PL/SQL or T-SQL and Data modelling Knowledge of databases like Snowflake, Microsoft SQL Server, Oracle, etc.
Good understanding of database design, implementation, troubleshooting and maintenance.
Proficient in optimizing complex SQL queries.
Familiarity with transactional and data warehouse environments
End to end experience in designing and deploying reports/dashboards/data visualizations using Power BI, Looker, SSRS, etc.
Hands on experience on analytics tools such as R, python and BI tools for exploratory data analytics and predictive data analytics
Optimize Microsoft Power BI dashboards with a focus on usability, performance, flexibility, testability, and standardization.
Experience working with US or overseas clients will be preferred
Experience with data pipeline and data integration tools - Azure Data Factory/ Matillion/Jitterbit/Denodo, Azure Data Factory would be most preferred.
Experience with API integrations
Python in all its wonderful mutations
Experience with relational SQL and NoSQL databases like SQL Server, Oracle, Snowflake
Reporting & Visualization Tools like Power BI, Looker, SSRS
Ability to multi-task
Ability to work in a collaborative team environment
Strong communication (oral and written) and interpersonal skills required to interact with colleagues and internal customers.
Excellent at troubleshooting issues
Ability to develop productive business relationships with internal team members through cooperation, courtesy and professionalism
Ability to play an integral part in project delivery given tight constraints and uncompromising quality
Motivated to identify and develop solutions leveraging best practices
Capable of explaining complex technical issues to clients and internal resources
DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things—great teams, great buildings, great relationships—DPR is a truly great company. For more information, please visit www.dpr.com.