Data Engineer - Jersey City, United States - Penn Foster Inc

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    Description
    Company Description
    We help the world see new possibilities and inspire change for better tomorrows.

    Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

    Job Description
    We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data pipeline architecture.

    The ideal candidate is an experienced data pipeline builder and data wrangler with strong experience in handling data at scale.

    The Data Engineer will support our software developers, data analysts and data scientists on various data initiatives.

    This role is based in our Jersey City, NJ global headquarters which has a flexible hybrid work model with 2 or 3 days per week in-office and 2 or 3 days per week remote.

    Why this role
    This is a highly visible role within the enterprise data lake team.

    Working within our Data group and business analysts, you will be responsible for leading creation of data architecture that produces our data assets to enable our data platform.

    This role requires working closely with business leaders, architects, engineers, data scientists and wide range of stakeholders throughout the organization to build and execute our strategic data architecture vision.

    Job Duties
    Extensive understanding of SQL queries.

    Ability to fine tune queries based on various RDBMS performance parameters such as indexes, partitioning, Explain plans and cost optimizers.

    Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies stack

    Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

    Working with data scientists and industry leaders to understand data needs and design appropriate data models.
    Participate in the design and development of the AWS-based data platform and data analytics.

    Qualifications
    Skills Needed
    Design and implement data ETL frameworks for secured Data Lake, creating and maintaining an optimal pipeline architecture.
    Examine complex data to optimize the efficiency and quality of the data being collected, resolve data quality problems, and collaborate with database developers to improve systems and database designs

    Hands-on building data applications using AWS Glue, Lake Formation, Athena, AWS Batch, AWS Lambda, Python, Linux shell & Batch scripting.

    Hands on experience with AWS Database services (Redshift, RDS, DynamoDB, Aurora etc.)
    Experience in writing advanced SQL scripts involving self joins, windows function, correlated subqueries, CTE's etc.
    An understanding of data management fundamentals, including concepts such as data dictionaries, data models, validation, and reporting.
    Education and Training

    Minimum of 5 years full-time software engineering experience with at least 2 years in an AWS environment focused on application development.

    Bachelor's degree or foreign equivalent degree in Computer Science, Software Engineering, or related field
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    Additional Information

    In 2022, Verisk received Great Place to Work Certification for our outstanding workplace culture for the sixth year in a row and second-time certification in the UK, Spain, and India.

    We're also one of the 38 companies on the UK's Best Workplaces list and one of 18 companies on Spain's Best Workplaces list.

    For over fifty years and through innovation, interpretation, and professional insight, Verisk has replaced uncertainty with precision to unlock opportunities that deliver significant and demonstrable impact.

    From our historic roots in risk assessment, we've grown to provide analytic insights that help transform industries focused on some of the world's most critical areas.

    Today, the insurance industry relies on Verisk to be, and to make the world, more productive, resilient, and sustainable.
    Verisk works in collaboration with our customers and at the intersection of people, data, and advanced technologies.

    Through proprietary platformed analytics, advanced modeling, and interpretation, we deliver immediate and sustained value to our customers and through them, to the individuals and societies they serve, with greater speed, precision, and scale.

    We're 9,000 people strong, committed to translating big data into big ideas. We help others see new possibilities and empower certainty into big decisions that impact individuals and societies. And we relentlessly and ethically pursue innovation to help move our customers, and the world, toward better tomorrows.


    Everyone at Verisk—from our chief executive officer to our newest employee—is guided by The Verisk Way, to Be Remarkable, Add Value, and Innovate.

    Be Remarkable by doing something better each day in service to our customers and each other
    Add Value by delivering immediate and sustained results that drive positive outcomes
    Innovate by redefining what's possible, embracing challenges, and pushing boundaries
    Verisk Businesses
    Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
    Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
    Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

    Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

    Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
    Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

    Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

    Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

    At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career.

    We have received the Great Place to Work Certification for the 7th consecutive year. We've been recognized by

    Forbes


    as a World's Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce.

    Verisk's Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.

    Verisk Analytics is an equal opportunity employer.
    All members of the Verisk Analytics family of companies are equal opportunity employers.

    We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.


    Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property.

    Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
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