3675 Scala Jobs - Page 6

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Location: Hyderabad Contract Duration: 6 Months Experience Required: 8+ years (Overall), 5+ years (Relevant) 🔧 Primary Skills Python Spark (PySpark) SQL Delta Lake 📌 Key Responsibilities & Skills Strong understanding of Spark core: RDDs, DataFrames, DataSets, SparkSQL, Spark Streaming Proficient in Delta Lake features: time travel, schema evolution, data partitioning Experience designing and building data pipelines using Spark and Delta Lake Solid experience in Python/Scala/Java for Spark development Knowledge of data ingestion from files, APIs, and databases Familiarity with data validation and quality best practices Working knowledge of data warehouse concepts and data modeling Hands-on with Git for code versioning Exposure to CI/CD pipelines and containerization tools Nice to have: experience in ETL tools like DataStage, Prophecy, Informatica, or Ab Initio Show more Show less

Company Description Cyanous is a leading global information technology, consulting, and business process services company. Our mission is to empower every individual and organization to achieve more and adapt to the digital world. We leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to drive transformation and success for our clients. Dedicated to addressing global challenges, we collaborate with employees, clients, partners, public institutions, and community organizations globally. We Are Description This is a full-time role for a Big Data Developer based on-site in Chennai. Responsibilities The Big Data Developer will be responsible for designing, developing, and managing data processing systems. This includes working on data integration, Extract Transform Load (ETL) processes, and ensuring data accuracy and integrity. The role also involves collaborating with cross-functional teams to deliver analytics solutions and continuously improve existing data : Proficiency in Data Engineering, Big Data technologies. Experience with Extract Transform Load (ETL) processes and Data Warehousing. Strong background in Software Development. Excellent problem-solving and analytical skills. Ability to work collaboratively with cross-functional teams. Bachelor's degree in Computer Science, Information Technology, or a related field. Experience in the IT consulting industry is a Have : Minimum 8 years of experience in Spark, Scala, and Big Data with exposure about cloud platforms ( AWS, Azure, GCP) for big data processing and storage. Strong experience in Azure DLS. Strong experience in Databricks, data pipelines. Experience in Hadoop. Seeking someone with strong backend development expertise, particularly in Java(Spring to Have : Agile delivery experience. (ref:hirist.tech) Show more Show less

Opkey, we are disrupting the space of ERP transformation testing by building an AI-powered No Code Testing platform for Enterprise business applications (like Oracle Fusion Cloud, SAP S4Hana, SAP, Workday, Salesforce, and the likes). Opkey is a fast-growing VC-backed continuous end-to-end test automation software company headquartered in Dublin, California, with additional offices in Pittsburgh (opened in 2022), NYC (opened in 2022), & India (Noida & Bangalore). With the test automation market growing 20% annually, it's estimated to reach $50 billion by 2026. Trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. We are seeking a highly skilled Lead AI Engineer with 8+ years of experience, preferably from SaaS and product-based companies, to drive our AI initiatives from ideation to deployment. You will work closely with cross-functional teams to design, develop, and scale innovative AI solutions that power our next-generation platforms. Key Responsibilities Architect, build, and deploy AI/ML models for SaaS products at scale. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings. Implement and optimize Retrieval Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques. Define and uphold best practices in AI model development, MLOps, and scalable deployment. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Stay abreast of advancements in AI and contribute thought leadership internally and externally. Required Skills & Experience 10 to12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc. Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes). Experience with LLM fine-tuning, prompt engineering, vector databases (e., Pinecone, FAISS) is highly desirable. Has experience is having trained a SLM (or Medium Language Model), for a particular vertical. This includes pre-training and fine-tuning. Strong problem-solving skills and ability to navigate ambiguous technical challenges. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Master's or Ph.in Computer Science, Machine Learning, Data Science, or a related field. Experience in Go-to-Market Strategy for AI-powered products. Experience integrating AI into customer-facing SaaS products with measurable outcomes. Contributions to open-source AI projects or published research papers. (ref:hirist.tech) Show more Show less

Job Requirements Job Requirements Role/ Job Title: Senior Data Engineer Business: New Age Function/ Department: Data & Analytics Place of Work: Mumbai/Bangalore Roles & Responsibilities 'Minimum 6 years of Data Engineering experience and 3 years in large scale Data Lake ecosystem Proven expertise in SQL, Spark Python, Scala, Hadoop ecosystem, Have worked on multiple TBs/PBs of data volume from ingestion to consumption Work with business stakeholders to identify and document high impact business problems and potential solutions First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera,hortonworks) and AWS Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability A suitable candidate will also be proficient Spark, Spark Streaming, AWS, and EMR A suitable candidate will also demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases. Advanced skills in technical debugging of the architecture in case of issues Creating Technical Design Documentation (HLD/LLD) of the projects/pipelines Secondary Responsibilities 'Ability to work independently and handle your own development effort. Excellent oral and written communication skills Learn and use internally available analytic technologies Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions Use educational background in data engineering and perform data mining analysis Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points Engage in the delivery and presentation of solutions Managerial & Leadership Responsibilities 'Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including integrating a data model with datalake, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Key Success Metrics 'Ensure timely deliverables. Spot Data fixes. Lead technical aspects of the projects. Error free deliverables. Show more Show less

Role Summary Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. Role Responsibilities Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes. Provides guidance and may lead/co-lead moderately complex projects. Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes. Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs. Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise. Collaborate effectively with contractors to deliver technical enhancements. Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment. Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency. Conduct root cause analysis and address production data issues. Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives. Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects. Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives. Document and present findings, methodologies, and project outcomes to various stakeholders. Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection. Basic Qualifications A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline. Over 4 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations. Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred. Strong understanding of data structures, algorithms, and software design principles Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices Preferred Qualifications Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica. Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing. Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Containerization: Understanding of Docker and Kubernetes for containerization and orchestration. Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files. Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune. Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets. Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch. Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship. Non-standard Work Schedule, Travel Or Environment Requirements Occasionally travel required Work Location Assignment: Hybrid The annual base salary for this position ranges from $96,300.00 to $160,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Information & Business Tech Show more Show less