Senior Data Engineer
Mumbai, India
Verisk
The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.Company Description
Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.
Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.
Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.
We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. We are committed to creating a workplace that works for you and encourage everyone to get involved in our Wellness, Diversity and Inclusion, and Community Engagement initiatives. We actively support flexible working and are happy to consider alternative work patterns, taking into account your needs and the needs of the team or division that you are looking to join.
Hear what our team has to say about working with us:
https://www.woodmac.com/careers/our-people/
We are proud to be a part of the Verisk family of companies!
At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.
Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.
But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger. #LI-JA1
It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.
At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.
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’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.
Job Description
We are seeking a Data Engineer to contribute to our technology strategy in order to deliver the best possible software for our customers. The successful candidate will have informed opinions on technologies, frameworks and approaches to delivery. They must be able to articulate their ideas effectively and strive to constantly improve deliverables. They will have worked in a data centric environment previously and understand the challenges of managing multiple streams of data and ensuring data integrity at all stages. An advocate of cloud technologies and approaches, they will work within an engineering scrum team, tasked with building a data platform to ingest, process and publish our data, both internally and externally. The ultimate objective of this team is to move from manual processes to fully automated data pipelines.
The successful candidate will be adept at quickly forming strong working relationships with colleagues within the technology and research functions, ensuring a high level of team morale.
Key Responsibilities
Working as part of a scrum team on one or more projects within the Wood Mackenzie portfolio to ensure adherence to best practices
Build and contribute to the data architecture for new systems based on architectural blueprints with performance, scalability and maintenance in mind
Contribute to technology best practices and standards within the data space
Contribute to the resolution of any technical issues blocking progress
Promote a culture of shared code ownership, and actively participate in code reviews
Partner with different business stakeholders within Research, Product Management and Operations, working towards the delivery of strategic goals
Qualifications
Proven experience in at least one major language (Java, Python, JavaScript, .NET)
Experience of automating data ingestion, cleansing and publishing
Proven experience of working with Relational and NoSQL Database systems
Proven experience of building scalable APIs to deliver both data and content
Understanding of continuous delivery and approaches to continuous integration
Strong knowledge of security and performance concerns
Core Competencies
Excellent problem solving, and analysis skills coupled with great communication skills
Strong organization and planning skills, with the ability to manage multiple priorities simultaneously
A strong attention to detail
Commitment to excellence and meeting high quality standards expected by our clients
Experience in working in different delivery methodologies and an understanding of their benefits/constraints
Additional Information
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.
http://www.verisk.com/careers.html
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.
#LI-JA1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Consulting Data pipelines Engineering Java JavaScript Machine Learning NoSQL Pipelines Privacy Python Research Scrum Security
Perks/benefits: Career development Flex hours Insurance Wellness
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