Senior Data Engineer at Zeco Systems, Inc. dba Shell Recharge Solutions

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Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, AWS, S3, DynamoDB, RDS, ETL, Data Modeling, System Architecture, Cloud Computing, PaaS, SaaS, Infrastructure Orchestration, Cost Optimization, Stakeholder Management, Communication

Industry

Software Development

Description

Sr. Data Engineer Shell Recharge Solutions [http://www.shellrecharge.com/en-us/solutions]is a leader in delivering the new electric mobility future through innovative software, infrastructure, and professional services that empower utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale. Our technology is connecting EV infrastructure solutions with public and private charging needs in a safer, cleaner, and smarter way. Headquartered in offshore India, the company’s global footprint spans across three continents with deployments in 13 different countries. At Shell Recharge Solutions, we are looking for candidates who want to be a part of something bigger than themselves – passionate, purpose-driven individuals who believe having a career means making a meaningful impact on our business and the world. We believe in creating and doing ‘the right thing’ through responsible and sustainable EV deployment. We are looking for the innovative, driven to find a solution in a complex and dynamically evolving marketplace and look at “no” as just a challenge to find the next “yes”. Shell Recharge Solutions is seeking a Sr. Data Engineer Shell Recharge Solutions is looking for a Platform Engineer to join our engineering team in leading and owning the platform design for a distributed multi-technology platform. This platform is central to an eMobility ecosystem that consists of massive worldwide cloud infrastructure, Electric Vehicle Chargers (L2 and DCFC), Battery Energy Storage systems, integration with Energy Utilities, Renewable Energy, and the hardware/software to facilitate administration, predictive management, and communication between sites and facilities. What you’ll do: * Determining, creating, and implementing internal data migration process improvements, such as redesigning Data infrastructure for increased scalability, improving data delivery, and automating manual procedures. * Building necessary infrastructure using AWS native services, S3, DynamoDB and RDS SQL technologies. This will enable effective data extraction, transformation, and loading from a variety of data sources. * Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition. * Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties. * Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning * Collaborate with DevOps, Security, and Application teams for seamless delivery of services. * Stay updated with evolving AWS services and recommend enterprise adoption strategies. What We’re Looking For: Basic Qualifications * Bachelor’s degree in computer science/ engineering or equivalent experience required. * 8+ years of experience designing and shipping cloud services products. * 3+ years of experience driving and managing technical and architectural dependencies on AWS cloud. * A firm understanding of system architecture, cloud computing, PaaS/SaaS design principles, S3, DynamoDB, RDS mandatory * Experience in building or maintaining ETL processes and tools i.e. AWS Glue or any opensource tool. * Proven system level design contribution to a current “Live” (in production / under daily high load) multi-region SaaS or PaaS offering. * Proven experience with S3, DynamoDB SQL and AWS RDS Services. * Proficiency in programming languages such as Python * Strong analytical and problem-solving skills. Required Skills & Experience * Three or more years of experience with Python, SQL, and data visualization/exploration tools * Familiarity with the AWS ecosystem, specifically S3, DynamoDB and RDS * Communication skills, especially for explaining technical concepts to nontechnical business leaders * Ability to work on a dynamic, research-oriented team that has concurrent projects * Experience in AWS cost optimization (Savings Plans, Reserved Instances, Spot Instances) and governance frameworks. * Have an experience developing solutions using infrastructure orchestration tools (SSM, automation account, ansible, etc.) * Excellent leadership, stakeholder management, and communication skills. What We Offer: * A work environment that allows you to work with and learn from some of the best and brightest in this emerging industry * The ability to make a difference in a world that needs our technology to help reduce carbon emissions and enable a more sustainable energy future through the use of electric vehicle charging software, services and infrastructure * The freedom to learn, suggest, and implement innovative new ideas applied to our systems, processes, programs and technologies * Daily ownership of your role in a challenging, high-growth environment. * A casual work environment and culture that support work life ‘fit’, enabling you to fit life into your work and work into your life, i.e. flexible scheduling, virtualization options, and a generous holiday package * Competitive pay and benefits programs designed to enable you to thrive inside and outside of work * Participation in Shell Recharge Solutions’ performance and rewards bonus program * 9/80 Flex Work schedule

Responsibilities

The role involves determining, creating, and implementing internal data migration process improvements, such as redesigning data infrastructure for scalability and automating manual procedures. Responsibilities also include building necessary infrastructure using AWS native services for effective data extraction, transformation, and loading from various sources.