Position: Data Engineer
Location: Boston, MA
Openings: 2
Years of Experience Needed: 7-8 years
Proficient in programming languages like Python, R, C# is a plus.
Experience working with multiple database platforms such as SQL Server, Oracle, Mongo or No-SQL.
Design, implement, and maintain scalable and efficient data pipelines, data warehouses, and ETL processes.
Executive Office of Energy and Environmental Affairs (EEA) is seeking a talented Senior Data Engineer to lead a highly complex Data Centric system development. Ideal candidate must have prior experience working with data centric applications and business reporting while working with large and complex datasets. Candidate will be responsible to design, develop and maintain a data analytical platform that will require data cleansing and developing a complex business intelligence model using data visualization and predictive modeling techniques.
The ideal candidate will have strong experience working closely with business and technical teams to design and develop tools and processes to collect, analyze and process large volumes of raw data. The Data Analyst will also be responsible for monitoring and analyzing data accuracy, automate data collection and processing, data modeling, building data visualization tools, dashboards, and reports. The ideal candidate must conduct thorough business requirements analysis to understand and develop technical models to provide sustainable and scalable solutions to meet business needs. Furthermore, the Data Analyst should have strong communication and organizational skills, attention to detail, problem-solving skills. Candidate should have deep technical and analytical skills to break down complex business requirements and provide solutions with high visibility and impact for the business. The candidate should also be able to work on multiple projects at the same time and handle multiple timelines.
This contract position is a hybrid position and may have the opportunity to renew starting next fiscal year, July 1, 2024.
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.