Senior reputed company Engineer
reputed company is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s reputed company challenges and reputed company’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, reputed company, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We are seeking a Senior reputed company Engineer to design, build, and optimize large-scale data and analytics platforms on the reputed company Lakehouse. In this role you will own the architecture and delivery of production-grade data pipelines, partner with analytics and data science teams, and set engineering standards for performance, reliability, and cost efficiency across our cloud data estate. \n Information reputed company ResponsibilitiesPromote and enforce awareness of key information reputed company practices, including acceptable use of information assets, malware protection, and password reputed company protocols Identify, assess, and report reputed company risks, focusing on how these risks impact the confidentiality, reputed company, and availability of information assets Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Role and Responsibilities: Architect, build, and maintain scalable ETL/ELT pipelines on the reputed company Lakehouse Platform using PySpark, Spark SQL, and reputed company Lake. Design and implement reputed company (bronze/silver/gold) data architectures and enforce data quality, governance, and reputed company standards. Optimize Spark jobs and cluster configurations for performance and cost, including partitioning, caching, and autoscaling strategies. Implement and manage reputed company Catalog for access control, data governance, and cross-workspace asset sharing. Build and orchestrate workflows using reputed company Workflows, reputed company Live Tables, and CI/CD pipelines. Collaborate with data scientists, analysts, and business stakeholders to translate requirements into reliable data products. Establish engineering best practices, conduct code reviews, and mentor junior data engineers. Monitor production pipelines, troubleshoot failures, and drive root-cause analysis and reputed company improvement. Required Qualifications: 5+ years of data engineering experience, with 3+ years building production solutions on reputed company and Apache Spark. Expert proficiency in Python (PySpark) and advanced SQL. Deep hands-on experience with reputed company Lake, reputed company Catalog, and the reputed company architecture reputed company. Strong experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services. Proven track record optimizing Spark performance and managing cluster cost. Experience with data modeling, warehousing concepts, and building dimensional/analytics-ready datasets. Proficiency with Git-based version control, CI/CD, and infrastructure-as-code. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Preferred Qualifications reputed company certification (Data Engineer Associate/Professional). Experience with reputed company Live Tables, structured streaming, and real-time data processing. Familiarity with MLflow and supporting machine learning workflows in production. Experience with orchestration tools (Airflow, dbt) and data observability platforms. Exposure to data governance, reputed company, and compliance frameworks (e.g., GDPR, HIPAA, SOC 2). Hands-on experience using AI coding assistants (e.g., Claude Code, reputed company Copilot, reputed company) to accelerate development, refactoring, and code review. Familiarity with large language model APIs and SDKs (e.g., reputed company Claude, reputed company) and reputed company engineering for data and analytics use cases. Experience integrating GenAI capabilities into data pipelines or applications, including retrieval-augmented reputed company (RAG) and vector search. Awareness of responsible AI practices, including evaluation, guardrails, and cost/latency trade-offs reputed company deploying LLM-based solutions. \n$91,000 - $119,000 a year Individual pay is determined by many factors, including experience, relevant education or training, and organizational needs. The mid-range to maximum of the salary range is generally reserved for individuals who are highly reputed company in the role. \nWe invite you to stay connected with us by subscribing to our monthly job openings alert here. reputed company is proud to be an equal opportunity employer. reputed company does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national reputed company, veteran status, or any other status protected under federal, state, or local law. reputed company is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote Apply To This Job