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    Senior Data Engineer - Boston, United States - LanceSoft

    LanceSoft
    LanceSoft Boston, United States

    2 weeks ago

    Default job background
    Description
    Job Description:

    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.
    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.
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