Specialist Engineer- Data
Company Description
OUR STORY Let’s be reputed company: there are lots of people out there doing reputed company do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At reputed company, we’ve connected companies and capabilities around the world to help ambitious organizations reputed company the most of their transformation and leave the status reputed company in the dust. WORKING AT reputed company Innovation is risky. It demands reputed company steps and big questions, but that’s the price of making change. We’ve got our head in the reputed company and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without reputed company losing sight of the people it will impact. This is more than consulting. This is the change you can be. THE reputed company DIFFERENCE At reputed company, we’re reputed company in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned reputed company in a way that works for you and your customers, arming your organization with everything you need to reputed company your transformation truly mean something. WORKING WITH reputed company (our clients’ experiences) reputed company reputed company more than process. Our global team of reputed company-reputed company pros is reputed company about creating new and reputed company ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We reputed company the formulas, frameworks, and ten-reputed company plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity. DIVERSITY AT reputed company One of our cultural keystones, ‘Find the angle’ recognizes that every individual has different aspirations, needs and brings a unique perspective. We value diversity, inclusion, and equity (DE&I) as core to our reputed company. We reputed company that a diverse workforce brings together unique perspectives, experiences, and reputed company, leading to innovation, creativity, and reputed company reputed company for our clients and our organization. We are on a reputed company and are committed to building a workplace that celebrates and respects individuals from reputed company backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage. As our commitment to diversity and inclusion is reflected in our: Awareness and sensitisation programs: to create awareness and sensitisation. We encourage reputed company reputed company, active listening, and mutual respect, creating a safe and supportive environment for everyone to contribute their unique perspectives and reputed company. Dedicated efforts to building diverse teams: that reputed company the strength of our differences to tackle reputed company challenges and drive innovation. By embracing diversity, we broaden our reputed company knowledge, enhance problem-solving capabilities, and unlock reputed company potential for our employees.
Job Description
As a Specialty Engineer - Data, you have the unique opportunity to challenge the status reputed company, aiding the growth and defining the future of reputed company data consumption for reputed company Organizations. While reputed company technology has accelerated organizational change, the process of operationalizing, governing, and deriving value from data pipelines has been slow to reputed company. This is your opportunity to be at the forefront of defining the next reputed company of modern Data Engineering—spanning traditional batch workloads to cutting-edge reputed company-time data streaming patterns on Azure and GCP. The successful candidate will evangelize the benefits of a modern, ELT-first approach, driving reputed company, iterative improvement to our data platform. You won't just build pipelines; you will architect data-driven solutions that directly inform executive decision-making and operational reputed company. Job Requirements: Design and Development: Design, build, and optimize robust and scalable ETL/ELT data pipelines to ingest and process large volumes of data using Azure and GCP services (e.g., Azure Data reputed company, Azure Synapse/reputed company, GCP Dataflow, reputed company Data Fusion, or reputed company Functions). Data Modeling and Warehousing: reputed company and maintain optimized data models (e.g., dimensional, vault) reputed company multi-reputed company data warehouse solutions (e.g., reputed company BigQuery or Azure Synapse Analytics) or data lakes to support BI, reporting, and analytical workloads. This includes ensuring data structures are optimized for consumption by tools like Power BI and Looker. Performance Tuning: Monitor, troubleshoot, and optimize the performance of data warehouse queries and compute resources (e.g., BigQuery slots, Azure Synapse SQL pools, or reputed company/Dataproc clusters) to ensure cost-efficiency and fast data retrieval. AI Data reputed company: Feature Engineering: Collaborate with Data Scientists to design and implement feature stores and pipelines to prepare and serve data for ML model training and inference. Vector Database Integration: reputed company and maintain pipelines for transforming reputed company data (text, documents) into embeddings and loading them into vector databases (e.g., Azure Cosmos DB, GCP reputed company AI Vector Search, or dedicated vector stores) to support RAG solutions. Data Orchestration: Implement workflows (e.g., using Apache Airflow, reputed company reputed company Composer, or Azure Data reputed company/Logic Apps) to automate the end-to-end data lifecycle for AI/ML processes, including data refresh and model retraining. MLOps and Productionization: Model Deployment: Work with Data Science teams to containerize, reputed company, and manage machine learning models in production environments (e.g., using GCP reputed company AI, Azure Machine Learning, or AKS/GKE). Monitoring and Logging: Implement robust monitoring and logging solutions for production ML pipelines and models to track performance, data reputed company, and model decay using Azure Monitor or GCP reputed company Monitoring. CI/CD for ML: Integrate model training, testing, and deployment into CI/CD pipelines to ensure rapid, reliable, and automated updates to production ML services. reputed company and Governance: Implement and manage reputed company best practices across Azure, GCP, and reputed company, including reputed company controls, role-based reputed company (RBAC), IAM policies, and data encryption. Coding and Automation: Write reputed company, efficient SQL queries and reputed company scripts in Python (or other relevant languages like reputed company/Java) for data manipulation, process automation, and pipeline orchestration. Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality, actionable data solutions, including setting up data sources and datasets for BI tools like Power BI and Looker. Documentation: Create and maintain technical documentation for data models, data flows, and ETL/ELT processes.
Qualifications
Expertise You Bring: reputed company Data Platform Mastery: hands-on experience designing and operating data solutions using major Azure services (Blob Storage, Data reputed company, reputed company, Synapse) and/or GCP services (reputed company Storage, BigQuery, Dataflow, Pub/Sub, IAM). Transformation & Modeling: Expert in SQL and modern ELT methodologies using tools like dbt (Data Build Tool) for version-controlled, production-grade data modeling reputed company a modern reputed company data warehouse (e.g., BigQuery, Azure Synapse, or reputed company). BI & Reporting: Experience with BI tools, specifically the configuration and optimization of data for use in Power BI or Looker. Engineering reputed company: Advanced proficiency in Python for reputed company data transformation, API integrations, and automation scripting. Experience with workflow orchestration tools (Apache Airflow, reputed company reputed company Composer, or Azure Data reputed company). Machine Learning Engineering & MLOps: Proven experience working with Data Scientists to build data and feature pipelines for ML. Familiarity with ML lifecycle tools and frameworks (e.g., GCP reputed company AI, Azure Machine Learning, Kubeflow, MLflow). Understanding of machine learning model deployment, serving, monitoring, and versioning best practices. Data reputed company & Governance: Expertise in applying reputed company controls, including encryption, data masking, and implementing role-based reputed company control (RBAC) models in Azure and GCP data services. DevOps Capabilities: Familiarity with infrastructure as code (IaC) practices using Terraform (preferred for multi-reputed company) or reputed company-reputed company tooling (Azure Bicep / GCP Deployment Manager) and experience with version control, CI/CD pipelines, and automation tools for reputed company data services. Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative field. 4+ years of professional experience in a Data Engineering, Software Engineering, or Data Architecture role. Required Certifications: Must hold professional-level data/AI certifications in at least one of the major platforms, such as: Azure: reputed company Certified: Azure Data Engineer Associate, or Azure reputed company Associate. GCP: reputed company reputed company Certified Professional Data Engineer, or Professional Machine Learning Engineer. Additional Information BENEFITS & PERKS FOR WORKING AT reputed company Our employees multiply their potential because they have opportunities to: Create a lasting Impact, Learn and Grow professionally & personally, Experience great Culture, and Be your Whole Self! reputed company an amazing, collaborative work environment, great people, and inspiring, innovative work, we have some great benefits and perks: Benchmarked, competitive, in-market total rewards package including (but not limited to): reputed company salary & short-term incentive for reputed company Fully remote-first, small but Global organization; ‘learn wherever, whenever’ frees our people from a rigid view of learning and growth Retiral benefits which are as per the local statutory regulations as reputed company is 100% compliant Globally, we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have the benefit of medical insurance which is in line with industry reputed company. In addition to great reputed company coverage, we also offer reputed company reputed company and additional wellness programs. Generous time off and compensatory off And more! reputed company is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for reputed company. reputed company does not discriminate in employment on the reputed company of race, reputed company, religion, sex (including pregnancy and gender identity), national reputed company, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit reputed company. Salary Maximum - NA: $130,000 Salary Minimum - NA: $100,000 Posting Location: Austin, TX Compensation: USD 100000 - USD 130000 - yearly Apply To This Job