Data Analyst- ETL

Company:
Qualcomm Intl Inc., Mexico Branch Office

Job Area:
Engineering Group, Engineering Group > Software Applications Engineering

General Summary:
General Summary:

Qualcomm is a global leader in connected intelligent edge, focusing on AI, edge computing and connectivity. Our fast‑growing Industrial and Embedded IoT (IE‑IoT) BU leads the transformation of industries through intelligent edge solutions that combine connectivity, compute, and AI. We expand our global talent in applied edge AI to support our customers’ digital transformation across many verticals and industries.

In this position you will be involved and participate in building best-in-class solutions and tools needed to enable state-of-the-art technologies for next generation mobile/embedded machine learning platforms for robotics, IOT devices and datacenter. In this role, you will work in a dynamic environment, be part of a multi-disciplinary team, collaborate with internal teams, work with popular neural network frameworks, and understand the architecture of Qualcomm’s SOC and ML HW accelerators. You will support applications using machine learning tools and frameworks that enable making models smaller and run efficiently on all edge devices.

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
• Strong communication and interpersonal skills, high motivation, the ability to learn quickly and must be a self-starter.
• 2+ years of work experience with Programming Language such as C, C++, Python, etc.
• Experience with embedded systems - exposure to one or more of Linux, Yocto, Ubuntu based systems.
• Proficiency in deep learning and machine learning frameworks like TensorFlow, TFLite, PyTorch, Onnx and deployment‑oriented inference workflows.
• 1+ year of any combination of academic and/or work experience with device debugging techniques.
• Ability to speak fluent Portuguese and English
• Excellent communication skills (verbal, presentation, written).

Preferred Qualifications

• Experience with software engineering foundations (Python/C++), containerization, AI accelerators, and profiling tools; coupled with fluency in modern inference/runtime stacks.
• Knowledge of machine learning, deep learning, quantization, and optimization.
• Experience with different Neural Network architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Have knowledge in on-device AI models deployment is a plus.
• Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT) is a plus.
• Background with Qualcomm AI platforms and heterogenous acceleration; familiarity with on‑device inference and memory/power budgeting.
• Skills in neural network programming, video/image processing, and application development.
• Proficiency in machine learning data pipelines, data management, and both backend and frontend applications.
• Theoretical knowledge of hybrid AI designs: placing workloads across device/edge/cloud; knowledge of data pipelines, streaming/vision services, vector/RAG stores, feature stores, and observability.
• Experience with system‑level understanding of IoT, embedded systems, Edge AI deployments and AI On-Prem solution.
• Background in computer vision, video analytics, or edge AI inference.
• Experience delivering customer‑facing IoT or Edge AI solutions that moved beyond PoC to pilot or production.
• Experience with multimedia frameworks (Android, Linux, any other OS).  Gstreamer experience a plus.

Principal Duties And Responsibilities

• Support deployment of computer vision and generative AI models (e.g., LLMs and vision-language models) on Qualcomm platforms (IoT, Datacenter), helping customers move from development to commercialization.
• Support pre-sales and post-sales customer engagements as a solution engineer, translating business requirements into technical solutions, optimizing AI workloads, providing deployment guidance, and driving issue investigation and resolution.
• Translate customer requirements, use cases, and business needs into technical solutions leveraging Qualcomm AI engines (AI accelerators) and SoCs.
• Provide internal enablement (training, documentation, and hands-on support) and help resolve technical issues as they arise.
• Collaborate cross-functionally with internal teams and external partners (OEMs, ISVs, system integrators, and cloud providers) to align requirements and validate end-to-end solutions.
• Improve tools, workflows and documentation by identifying gaps, implementing enhancements, and measuring impact.
• Assist in developing and integrating generative AI (including LLM) features into Qualcomm platforms applications.
• Perform machine learning model benchmarking (both accuracy and latency) and functional analysis meet customer KPIs.
• Act as a technical lead for customer engagements, supporting projects from discovery through solution selection, PoC, pilot, early production and commercial solution launches.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Applicants
: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies
: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Build your future with Sovos.
If you're seeking a career where innovation meets impact, you've come to the right place. As a global leader, Sovos is transforming tax compliance from a business requirement to a force for growth while revolutionizing how businesses navigate the ever-changing regulatory landscape.

At Sovos, we're dedicated to more than just solving compliance challenges -- we're committed to making a positive and lasting difference in everything we do. Our teams operate on the modern edge of digital technology, working not only to solve complex business challenges but also to enrich our personal, professional, and local communities.

Our purpose-built systems provide the tools you need to thrive in a world where governments demand increased visibility, faster reporting and greater control over business processes. Excited about the possibilities? So are we!

Don't worry if you don't check all the boxes -- apply anyway! We're focused on hiring the right people, not just the "right" resume. It's not about what you've done elsewhere; it's all about what you're capable of doing here.

The Work You'll Do
At
Sovos
, we're transforming how companies around the world manage tax compliance---helping half of the Fortune 500 and thousands more stay ahead in a complex, ever-changing global landscape. As an
Analytics Engineer
on our Care Analytics team, you will own the data infrastructure that powers Sovos' global support analytics function---designing and maintaining our Snowflake warehouse, partnering with ops to scope and ship the right solutions, and leading data workstreams across 3–4 CRM backend migrations.

This is a high-ownership role with direct visibility to leadership.

More Specifically, You Will

• Design, build, and maintain Snowflake data models, pipelines, and warehouse objects (DDL, DML, DQL)
• Own delta pipelines, MERGE tasks, and incremental load strategies end to end
• Partner with ops stakeholders to translate ambiguous requirements into scoped, buildable solutions
• Lead data engineering workstreams across 3–4 CRM backend migrations
• Maintain data integrity, documentation, and the team data catalogue
• Write and maintain Python scripts for pipeline automation, data wrangling, and transformation
• Collaborate with the BI and ML analyst to ensure downstream data quality and consistency

What We Need From You

• 3–5 years in a data engineering or analytics engineering role
• Expert-level SQL---DDL, DML, and DQL with strong schema design instincts
• Hands-on Snowflake experience (tasks, streams, MERGE, clustering)
• Python proficiency for pipeline automation and data wrangling
• Experience with CRM data structures and migration patterns
• Comfort working cross-functionally with non-technical ops stakeholders
• Strong data integrity mindset---you validate end to end before shipping
• Due to client contractual obligations, the successful candidate will be asked to clear a background check upon hire

Nice To Have

• Salesforce data model experience
• Exposure to Fivetran, dbt, or similar ELT tooling
• Experience with BI tools (QuickSight, Tableau, Power BI)
• Six Sigma or process improvement background

What Does Sovos Offer You?
The tools to enhance your life - because we want you to enjoy your life outside of work and inside!

• Flexible Time-Off
• Comprehensive Health benefits
• Meal Vouchers to assist with food expenses
• Bi-Weekly Meeting Free Days
• Mentoring Programs
• Globally recognized Training and Development programs
• Virtual English Club through Rosetta Stone, and more!

Sovos is an equal opportunity employer committed to providing an environment that celebrates diversity and where equal employment opportunities are available to all applicants and employees. We do not discriminate against race, color, religions, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic provided by law. At Sovos, all employees are encouraged to bring their whole selves to work.

Company Background
Sovos is a global provider of tax, compliance and trust solutions and services that enable businesses to navigate an increasingly regulated world with true confidence. Purpose-built for always-on compliance capabilities, our scalable IT-driven solutions meet the demands of an evolving and complex global regulatory landscape. Sovos' cloud-based software platform provides an unparalleled level of integration with business applications and government compliance processes.

More than 100,000 customers in 100+ countries -- including half the Fortune 500 -- trust Sovos for their compliance needs. Sovos annually processes more than three billion transactions across 19,000 global tax jurisdictions. Bolstered by a robust partner program more than 400 strong, Sovos brings to bear an unrivaled global network for companies across industries and geographies. Founded in 1979, Sovos has operations across the Americas and Europe, and is owned by Hg and TA Associates. For more information visit http://www.sovos.com and follow us on LinkedIn and Twitter.

Data Engineer - ETL
Location:
Mexico (Mexico City) – Hybrid as per Infosys Mexico policy

Time Zone:
CST/EST

Key Responsibilities

• Designing and developing SQL code (AWS Athena) required
• Developing and editing Tableau workbooks experience required
• Designing and developing automated solutions
• Performance monitoring and tuning of existing automated jobs
• Troubleshooting failures
• Ad hoc analyses
• Query data to answer business questions and to support investigations
• Engage with subject matter experts to develop metrics and key performance indicators

Required Skills & Qualifications

• Outstanding ability to communicate clearly and concisely
• Thorough, take detailed notes and capture correct information
• Strong ETL development background (minimum of 1-2 years experience)
• Experience with Tableau (minimum of 1-2 years experience)
• Experience with SQL for analysis and data investigation (minimum of 1-2 years experience)
• AWS cloud experience (Cloudwatch, Lambda, EMR, Athena)
• Excellent analytical skills, curious about data
• Ability to think creatively to identify solutions
• Driven, hungry for opportunities
• Ability to self-manage multiple projects and deadlines
• Desire to learn and continue growing your technical skillset

Soft Skills
Strong leadership and stakeholder management.

Meeting Stringent Timelines with focus

Excellent problem-solving and analytical mindset.

Ability to communicate complex technical findings to non-technical audiences.

Proactive and detail-oriented with a focus on continuous improvement.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

#ZCC is currently hiring a:

DATA ENGINEER SR / DATABRICKS

• Design and build scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real time into the cloud-based Lakehouse.
• Build enterprise grade, highly reusable data assets for analytics consumption.
• Develop conceptual, logical, and physical data architecture blueprints and systems specifications to develop single source of truth for the enterprise.
• Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform.
• Take ownership of operationalization of Agentic AI & ML Models while designing solutions to optimize data pipelines, model deployment, and model monitoring

Technical skills:

• Experience with Azure or AWS Cloud
• Experience in building enterprise grade Data & AI solutions
• Experience with various Microsoft Azure services (including Fabric, Databricks, Data factory, Cosmos DB, Document Intelligence, Cognitive Services, AI Foundry, Power Platform, Co-pilot studio, Azure ML, Power Automate, Power BI etc.).
• Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis
• Experience with cloud data warehouse solutions like Snowflake, Fabric, or Redshift
• Exposure to ML frameworks including TensorFlow, PyTorch, Scikit-Learn
• Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering.

We offer:
Attractive compensation scheme.

Food vouchers

Restaurant vouchers

Benefits above the law.

Life insurance

Major medical expenses insurance

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.

Who We Are
Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

So be challenged. Be inspired. Help us make a difference.

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability