Sr Software Engineer/Tech Lead

About Aeris Communication : 

The Internet of Things (IoT) will unlock trillions of dollars in value over the next 10 years as 50 billion devices are brought online. Aeris is at the forefront of this industry, building networks and applications to enable Fortune 500 clients like Chrysler, Honda and Bosch fundamentally improve their businesses. Headquartered in Silicon Valley with offices in Bucharest, Chicago, London, Delhi, Bangalore, Helsinki, and Tokyo as well as other markets.  We rank among the top ten cellular providers for the IoT globally, powering critical projects across energy, transportation, retail, healthcare and more.
Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions.  As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast-pace.   
A few things to know about us:

• We put our customers first. When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last.
• We do things differently.  As a pioneer in a highly-competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way.
• We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage.
• Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it).  You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company.
• We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative.

Job Responsibilities: 
Technical Leadership:

• Provide technical leadership and mentorship to a team of data engineers.
• Design, architect, and implement highly scalable, resilient, and performant data pipelines, using GCP technologies is a plus (e.g., Dataproc, Cloud Composer, Pub/Sub, BigQuery).
• Guide the team in adopting best practices for data engineering, including CI/CD, infrastructure-as-code, and automated testing.
• Conduct code reviews, design reviews, and provide constructive feedback to team members.
• Stay up-to-date with the latest technologies and trends in data engineering,

• Develop and maintain robust and efficient data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Collaborate with cross functional teams, and business stakeholders to understand data requirements and deliver data solutions that meet their needs.

• Design and implement secure and scalable data storage solutions
• Manage and optimize cloud infrastructure costs related to data engineering workloads.
• Contribute to the development and maintenance of data engineering tooling and infrastructure to improve team productivity and efficiency.

• Effectively communicate technical designs and concepts to both technical and non-technical audiences.
• Collaborate effectively with other engineering teams, product managers, and business stakeholders.
• Contribute to knowledge sharing within the team and across the organization. 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7 years of experience in data engineering and Software Development.
• 7  years of experience of coding in SQL and Python/Java. 
• 3 years of hands-on experience building and managing data pipelines in cloud environment like GCP.
• Strong programming skills in Python or Java, with experience in developing data-intensive applications.
• Expertise in SQL and data modeling techniques for both transactional and analytical workloads.
• Experience with CI/CD pipelines and automated testing frameworks.
• Excellent communication, interpersonal, and problem-solving skills.
• Experience leading or mentoring a team of engineers