2 Pyspark Development Jobs

What you will do In this vital role You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. Role Description: In this vital role as Senior Manager Information Systems, you will lead a dynamic team of technical product owners, business analysts, developers, test/validation engineers, project managers and scrum masters responsible for the ongoing design, development, management, and optimization of Amgens digital products enabling the regulatory submission content automation initiative. You will also be the reporting manager for this team and will be responsible for the coaching and development of these resources. The ideal candidate will have a consistent track record of leadership in technology-driven environments with a passion for fostering innovation and excellence in the biotechnology industry. The role requires deep expertise in handling the end-to-end development and delivery of customer-facing digital product capabilities and platforms including generative AI, structured content management. They should also have experience leading and effectively working with large, diverse and globally dispersed teams within a matrixed organization. Extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle, technical product ownership, business analysis, be a Scaled Agile practitioner, coupled with leadership and transformation experience. This role demands the ability to drive and deliver against key organizational critical initiatives, develop a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Maintain strategic relationships and strong communication with the leadership team to ensure all collaborators feel informed and engaged Oversee the software development lifecycle, ensuring standard methodologies in development, testing, and deployment across the product teams Lead and handle large, teams with varied strengths within a matrixed organization, collaborating with geographically dispersed teams, including those in the US and international locations Develop and implement strategic plans for technology and workforce growth, including recruiting top talent and building a robust team in India Developing talent, motivating the team, delegating effectively, championing diversity within the team, and acting as a role model of servant leadership Ensuring global ways of working are embedded in the local organization Develop a culture of collaboration, innovation, and continuous improvement, driving talent development, motivation, and effective delegation Fostering standard methodology sharing and alignment with business goals Collaborate with Platform Owners, Product Owners, Service Owners, and delivery teams to ensure delivery matches commitments, acting as a critical issue point and facilitating communication when service commitments are unmet Participate in team member and leadership meetings, working with other parts of the organization and functional groups to ensure successful delivery and alignment with strategy, compliance, and regulatory requirements Remain accountable for ensuring overall organizational compliance with quality and GxP in technology services Monitor emerging technologies and trends to find opportunities for platform growth and expansion Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 10 - 12 years of experience in Engineering, IT or related field OR Bachelors degree with 12 - 14 years of experience in Engineering, IT or related field Background as a Technical Product Owner (TPO), people manager, and business analyst, ensuring the ability to oversee and guide a team to translate business needs into definition and delivery of technical solutions, guiding development teams, prioritizing features, and ultimate delivery and management of the digital products. Proven experience working with large-scale data environments comprising data pipelines, and enterprise cloud solutions. In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles. Strong understanding of cloud computing principles, particularly within the AWS ecosystem Working knowledge of 21 CFR, ISO 13485 and experience working in regulatory environments Proven leadership skills with the ability to lead large matrixed teams. In addition, demonstrated experience in leading and developing a hard-working team of technology professionals, building a culture of innovation and continuous improvement within the team to deliver powerful solutions and platform improvements. Experience in implementing a strategic roadmap and driving transformation initiatives using Scaled Agile methodology. Strong skills in collaborating and communicating with cross-functional teams, business collaborators, and executives to ensure alignment of platform initiatives with business outcomes, handling expectations, and ensuring successful delivery of projects. Degree in Computer Science, Information Systems, Engineering, or Life Sciences. Preferred Qualifications: At least 5-8 years of domain knowledge in health and/or life sciences combined with Information Technology Proficiency in Python/PySpark development, Fast API, PostgreSQL, Databricks, DevOps Tools, CI/CD, GitLab, and Data Ingestion. Understanding, and preferably applied experience and knowledge, in data management and CTD document drafting Leadership experience within a highly regulated pharmaceutical or technology organization, with the ability to ensure compliance with industry regulations and standard methodologies for GxP software validation. Experience driving a collaborative culture that values technical depth, accountability, and customer service. Strong problem-solving and analytical skills. Demonstrated ability to work effectively in a fast-paced, dynamic environment. Understanding of ITIL processes and implementation. Experience handling vendor relationships and working with external partners or consultants to ensure optimal performance, support, and development of digital products. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCos leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support pre-engagement activities as requested and validated by the prioritization framework of DA&AI. Data Science Senior Analyst: Hyderabad and Gurugram Your role will be to be part of growing team based in Hyderabad, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics. This Role focuses on Demand Forecasting in the Demand Planning functional area. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. You will be an internal ambassador of the teams culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing. Responsibilities Active contributor to code development in projects and services Act as contributor in innovation activities Partner with data scientist working on discovery, prototypes and pilot. Focus on experiment tracking. Partner with data engineers regarding data pipelines and data versioning. Build, deploy or publish machine learning models that run efficiently in cloud pipelines. Heavy focus on data wrangling implementation, business rules implementation, feature engineering at scale Help drive optimization, testing, and tooling to improve quality (unit tests). Monitor model performance (model decay), working with data scientists assessing bias and fairness. Prototype new approaches and build solutions at scale. Support large-scale experimentation done by data scientists. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 8+ years working in a team to deliver production level analytic solutions. 4+ years experience in ETL (ADF and Data bricks) and/or data wrangling 4+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus. 4+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Fluent in Jira, Confluence. Experience in cloud-based development and deployment (Azure preferred) Fluent with Azure cloud services. Certification is a plus. Fluent in git (version control) Fluent in Docker