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Location
Houston, TX, United States
Posted on
Jul 29, 2020
Profile
144001BR
Job Title:
Senior Data Engineer - Houston, TX
No. of Positions:
1
Job Description:
What’s the role?
We are looking for a savvy Senior Data Engineer to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. You will provide technical leadership and support to our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing multiple projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities:
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure, AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centers and Azure, AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Auto req ID:
144001BR
Skillpool:
IT Service Management & Delivery
Country of Work Location:
United States
Employment Type:
Full Time
Company Description:
Shell is a global group of energy and petrochemical companies with about 84,000 employees across more than 70 countries. We aim to meet the world’s growing need for more and cleaner energy solutions in ways that are economically, environmentally and socially responsible. We have expertise in exploration, production, refining and marketing of oil and natural gas, and the manufacturing and marketing of chemicals. As a global energy company operating in a challenging world, we set high standards of performance and ethical behaviors. We are judged by how we act and how we live up to our core values of honesty, integrity and respect for people. Our Business Principles are based on these. They promote trust, openness, teamwork and professionalism, as well as pride in what we do and how we conduct business. Building on our core values, we aspire to sustain a diverse and inclusive culture where everyone feels respected and valued, from our employees to our customers and partners. A diverse workforce and an inclusive work environment are vital to our success, leading to greater innovation and better energy solutions.
An innovative place to work
There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.
Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.
An inclusive place to work
To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills and reach your potential…
We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply and we’ll take it from there.
We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.
A rewarding place to work
Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.
We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.
Disclaimer:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.
Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world.
The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand.
Shell participates in E-Verify.
All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws.
Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability.
Work Location:
Houston - EP Center Americas
Requirements:
What we need from you
Must have legal authorization to work in the US on a full-time basis for anyone other than current employer.
Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or any related degree required.
Minimum ten (10) years' software developer experience with at least three (3 ) years of experience in data engineering.
Demonstrated proficiency in SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets is a must.
Experience supporting and working with cross-functional teams in a dynamic environment quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with Azure: ADLS, Databricks, SQL DW, Analysis Services, AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C , Scala, etc.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and organizational skills.
City, State (if applicable):
Houston, TX
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