*Hybrid 2 days onsite | 37.5 hour work week*
*Qualifications:*
* BS/MS in Computer Science, Data Engineer, Mathematics, Statistics or related field. Master degree preferred.
* 8+ years of relevant hands-on experience in Business Intelligence domain working as a Data Engineer.
* Must have strong analytical skills and be able to use statistical and data analysis tools to interpret data and identify trends and patterns.
* Must be strong in data collection and transformation using SQL, Python as well as analytical tools such as Power BI or Tableau.
* Proficient in programming languages like Python, R, C# is a plus.
* Experience with big data technologies and data pipeline such as Hadoop, Spark, Airflow, etc.
* Experience working with multiple database platforms such as SQL Server, Oracle, Mongo or No-SQL.
* Excellent problem solving skills.
* Strong communication skills to effectively communicate findings to technical team and business stake holders.
* Posse great attention to detail and able to spot patterns in large and complex data sets.
* Certification in Business Data Analytics Certification preferred, but not required.
*Preferred Qualifications:*
* Relevant certifications in data engineering or cloud platforms.
* Experience with data stream technologies.
* Must have exceptional verbal and written communication skills.
*Primary Responsibilities*
* Design, implement, and maintain scalable and efficient data pipelines, data warehouses, and ETL processes.
* Integrate data from multiple sources, including multiple databases, real-time data, third party data, etc.
* Perform data cleansing, preprocessing and transformation of data into data models and ready for data analytics and reporting.
* Optimize ETL processes and manage data flows, queries for performance, scalability and reliability.
* Develop and maintain data models that fit into business need, ensuring accuracy and integrity.
* Utilize industrial tools to perform data analytics and business reports.
* Develop and refine predictive models that can be used to make informed decisions.
* Able to work with machine learning algorithms to analyze data is a plus.
* Create and maintain comprehensive documentation for data flows, data processes and data models.
* Collaborate across multiple development teams, business agencies and programs to gather data and business needs.
* Stay up to date with industry trends and best practices in data engineering, propose and apply them to improve our data infrastructure.
* Must be able to collect, store and associate different data model from different data sources.
* Process data, including data cleansing and transformation, in preparation for data analysis.
* Use statistical methods and data visualization tools to analyze data, identify trends and patterns.
* Create reports, graphs and other visualizations to present and explain data to business.
* Working with business and technical members to ensure data is collected accurately and up to date.
* Identify business data collection and analysis area of improvement or suggesting changes to current business processes.
* Recommend new tools or technologies that can help streamline data analysis.
* Able to develop and refine predictive models that can be used to make informed decisions.
* Able to work with machine learning algorithms to analyze data is a plus.
* Work with business users and technical teams to research, understand, and document technical specifications using common tools such as JIRA, VISIO, SharePoint, MS Office Suite.
* Ability to work independently as well as part of a data team in fast paced and dynamic environment.
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EEO Statement. We welcome all applicants and qualified individuals, who will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.
#INDEEDROD
Job Types: Contract, Full-time
Pay: $68.00 per hour
Expected hours: 37.5 per week
Benefits:
* Health insurance
Experience level:
* 8 years
Schedule:
* Monday to Friday
Ability to commute/relocate:
* Boston, MA: Reliably commute or planning to relocate before starting work (Required)
Education:
* Bachelor's (Preferred)
Experience:
* Data Engineering: 8 years (Preferred)
* Python: 5 years (Preferred)
* Power BI or Tableau: 5 years (Preferred)
* big data technologies and data pipeline: 3 years (Preferred)
License/Certification:
* Business Data Analytics (Preferred)
* certifications in data engineering or cloud platforms (Preferred)
Work Location: In person
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