Sr Data Engineer

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 is a remote role that can be done anywhere in the continental US; work is on Eastern time zone hours.

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.
• Strong understanding and experience using data management fundamentals, including concepts such as data dictionaries, data models, validation, and reporting.

Education and Training

• 10 years full-time software engineering experience preferred with at least 4 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

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. 

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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

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. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

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.

https://www.verisk.com/privacy-policies/data-privacy-notice-for-employees-applicants-and-independent-contractors/