8417 Pyspark Jobs - Page 20

Responsibilities: This function covers incumbents responsible for various data activities, which include data analysis, maintenance, data quality and continuous interaction with business users to understand the requirements and convert those to the needed codes. Understanding of marketing data/Retail line of business is a plus. Day-to-day actions are focused on creating SAS codes to audit campaign data, execute campaigns ,identify deviations and analyze the correctness of the same. BAU also include reports being created and provided to business users for Retail line of business using SAS , Excel and planned migration to Tableau or equivalent approved reporting Tool. Knowledge of Autosys and Service now is an add on. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Technology Stack : Previous experience on SAS (intermediate-Expert) for creating reports /complex data sets Excel, Tableau/Equivalent reporting tool, Beginner/intermediate knowledge of: Python/Pyspark and Hadoop/Hive High attention to detail and analytical skills Logical approach to problem solving and good written and verbal communication skills ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Responsibilities Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency. Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud. Qualifications Bachelors degree in computer science, Engineering, or a related field. 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms. Strong understanding of data warehousing and data lake concepts. Proficiency in SQL and at least one programming language ( Python/Pyspark ). Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka. Knowledge of data modeling and data quality best practices. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a team. Preferred Qualifications AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains: Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications: Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in problem-solving discussions and contribute innovative ideas to enhance application performance and user experience. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application processes and workflows. - Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Good To Have Skills: Experience with Apache Spark and data processing frameworks. - Strong understanding of data manipulation and transformation techniques. - Familiarity with cloud platforms such as AWS or Azure. - Experience in developing and deploying applications in a distributed environment. Additional Information: - The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Pune office. - A 15 years full time education is required., 15 years full time education

Role & responsibilities AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Banking / Financial / Payment Gateway or Similar experience is preferred.

Job Description: Senior MLOps Engineer Position: Senior MLOps Engineer Location: Gurugram Relevant Experience Required: 6+ years Employment Type: Full-time About The Role We are seeking a Senior MLOps Engineer with deep expertise in Machine Learning Operations, Data Engineering, and Cloud-Native Deployments . This role requires building and maintaining scalable ML pipelines , ensuring robust data integration and orchestration , and enabling real-time and batch AI systems in production. The ideal candidate will be skilled in state-of-the-art MLOps tools , data clustering , big data frameworks , and DevOps best practices , ensuring high reliability, performance, and security for enterprise AI workloads. Key Responsibilities MLOps & Machine Learning Deployment Design, implement, and maintain end-to-end ML pipelines from experimentation to production. Automate model training, evaluation, versioning, deployment, and monitoring using MLOps frameworks. Implement CI/CD pipelines for ML models (GitHub Actions, GitLab CI, Jenkins, ArgoCD). Monitor ML systems in production for drift detection, bias, performance degradation, and anomaly detection. Integrate feature stores (Feast, Tecton, Vertex AI Feature Store) for standardized model inputs. Data Engineering & Integration Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data. Handle batch and streaming pipelines with Apache Kafka, Apache Spark, Apache Flink, Airflow, or Dagster. Build ETL/ELT pipelines for data preprocessing, cleaning, and transformation. Implement data clustering, partitioning, and sharding strategies for high availability and scalability. Work with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (Delta Lake, Lakehouse architectures). Ensure data lineage, governance, and compliance with modern tools (DataHub, Amundsen, Great Expectations). Cloud & Infrastructure Deploy ML workloads on AWS, Azure, or GCP using Kubernetes (K8s) and serverless computing (AWS Lambda, GCP Cloud Run). Manage containerized ML environments with Docker, Helm, Kubeflow, MLflow, Metaflow. Optimize for cost, latency, and scalability across distributed environments. Implement infrastructure as code (IaC) with Terraform or Pulumi. Real-Time ML & Advanced Capabilities Build real-time inference pipelines with low latency using gRPC, Triton Inference Server, or Ray Serve. Work on vector database integrations (Pinecone, Milvus, Weaviate, Chroma) for AI-powered semantic search. Enable retrieval-augmented generation (RAG) pipelines for LLMs. Optimize ML serving with GPU/TPU acceleration and ONNX/TensorRT model optimization. Security, Monitoring & Observability Implement robust access control, encryption, and compliance with SOC2/GDPR/ISO27001. Monitor system health with Prometheus, Grafana, ELK/EFK, and OpenTelemetry. Ensure zero-downtime deployments with blue-green/canary release strategies. Manage audit trails and explainability for ML models. Preferred Skills & Qualifications Core Technical Skills Programming: Python (Pandas, PySpark, FastAPI), SQL, Bash; familiarity with Go or Scala a plus. MLOps Frameworks: MLflow, Kubeflow, Metaflow, TFX, BentoML, DVC. Data Engineering Tools: Apache Spark, Flink, Kafka, Airflow, Dagster, dbt. Databases: PostgreSQL, MySQL, MongoDB, Cassandra, DynamoDB. Vector Databases: Pinecone, Weaviate, Milvus, Chroma. Visualization: Plotly Dash, Superset, Grafana. Tech Stack Orchestration: Kubernetes, Helm, Argo Workflows, Prefect. Infrastructure as Code: Terraform, Pulumi, Ansible. Cloud Platforms: AWS (SageMaker, S3, EKS), GCP (Vertex AI, BigQuery, GKE), Azure (ML Studio, AKS). Model Optimization: ONNX, TensorRT, Hugging Face Optimum. Streaming & Real-Time ML: Kafka, Flink, Ray, Redis Streams. Monitoring & Logging: Prometheus, Grafana, ELK, OpenTelemetry.

About the Role: We are looking for a skilled Data Engineer with strong experience in Databricks to join our data team. You will play a key role in building scalable data pipelines, optimizing data workflows, and supporting data analytics and machine learning initiatives. You should have solid experience in working with big data technologies, cloud platforms, and data warehousing solutions. Key Responsibilities: Design, develop, and optimize scalable ETL/ELT data pipelines using Apache Spark on Databricks Collaborate with data scientists, analysts, and business stakeholders to gather data requirements and deliver clean, reliable datasets Build and manage data models, data lakes, and data warehouses (preferably in Delta Lake architecture ) Implement data quality checks, monitoring, and alerting systems Optimize performance of data workflows in Databricks and ensure cost-efficient use of cloud resources Integrate with various structured and unstructured data sources (APIs, databases, files, etc.) Contribute to best practices and standards for data engineering and cloud development Required Qualifications: Bachelor's or Masters degree in Computer Science, Engineering, or a related field 5+ years of experience as a Data Engineer or similar role Hands-on experience with Databricks and Apache Spark Strong programming skills in Python and/or Scala Proficient in SQL and data modeling (e.g., star/snowflake schemas) Experience with cloud platforms like Azure , AWS , or GCP (Azure preferred if using Azure Databricks) Solid understanding of Delta Lake , Lakehouse architecture , and data governance Preferred Skills: Experience with CI/CD for data pipelines Knowledge of MLflow , Unity Catalog , or Databricks Workflows Familiarity with orchestration tools like Airflow , Azure Data Factory , or Prefect Exposure to BI tools like Power BI , Tableau , or Looker Experience with real-time data streaming tools (e.g., Kafka , Event Hubs ) What We Offer: Competitive salary and performance-based bonuses Flexible working arrangements Opportunities to work with cutting-edge data technologies A collaborative and innovative work environment

About This Role Associate Python Developer (Finance Platform Strategies) We are seeking a technologically adept Data Specialist with a robust Python background and financial acumen to join the Automation & AI team within Finance Platform Strategies (FPS) Our team champions the transformative integration of automation, including Robotic Process Automation (RPA), to streamline and accelerate financial processes, ensuring peak efficiency and workflow optimization, The Finance Platform Strategies (FPS) group, within BlackRocks global Finance & Strategy organization, is responsible for long-term management of Finance platform and technology initiatives, spanning controllers, financial planning, expense management, treasury, tax, and a range of other proprietary and third-party platform capabilities The group drives the strategic vision for and implementation of initiatives to enhance our platform capabilities and delivers day-to-day oversight and management of the platform, with a global footprint, Collaboration is key Youll work closely with partners across the Finance organization, BlackRocks Aladdin Engineering team, Technology & Development Operations (TDO) organization to achieve our goals Join us in shaping the future of finance through innovation and excellence, Core Responsibilities Developing and orchestrating technical solutions with a primary focus on Python frameworks, while also leveraging other technologies such as ETL tools and scripting languages to support the automation of financial processes and workflows, data transformations, and system integrations, Driving projects to completion by understanding requirements and utilizing a wide range of financial applications and automation tools, Ensuring the quality, performance, and reliability of software applications through rigorous testing, debugging, and code reviews, Partnering with functions across the global Finance organization to understand and solution business use cases for automation, Setting up and maintaining servers to support the Python infrastructure, Staying current with the latest developments in Python technologies, as well as industry trends in finance automation, Documenting development work requirements, including technical specifications, user stories, and acceptance criteria, to ensure clear communication and alignment with stakeholders, Mentoring and guiding junior developers to help them grow their skills and knowledge, Working closely with the Aladdin Engineering team and TDO to align technology solutions with business needs, Contributing as a Finance Technology Subject Matter Expert (SME), developing solutions around the inventory of technical tools available within BlackRock, Required Skills And Experience Advanced proficiency in Python technologies, including a deep understanding of frameworks such as Pandas, NumPy and PySpark, to architect and implement robust data transformation solutions, Extensive experience with data modeling, both relational and non-relational, and schema design ( e-g , SQL Server, star and snowflake), Proven expertise in API integration, including RESTful and GraphQL, for data enrichment and processing, Proficiency in data cleaning, normalization, and validation for maintaining high data quality, Strong experience in data science and machine learning, with proficiency in libraries such as Scikit-learn, TensorFlow, or PyTorch, Exposure to Azure Cognitive Services, offering a competitive edge in leveraging AI and machine learning capabilities, Practical experience with cloud platforms, particularly Microsoft Azure, and a solid grasp of cloud services and infrastructure, Proficient in DevOps practices, with experience using tools like Azure DevOps for continuous integration and delivery, Comfortable working in a Linux environment, demonstrating versatility across operating systems, Knowledge of cloud deployment technologies, such as Docker, to facilitate efficient deployment and scaling of applications, Familiarity with real-time data streaming platforms such as Apache Kafka, Understanding of containerization and orchestration technologies like Docker and Kubernetes, Strong command of data governance and security practices, Experience building intuitive and responsive user interfaces using modern frontend technologies such as Streamlit, Dash, Panel, Flask etc Good To Have Experience working with Azure Document Intelligence (ADI) for data processing, Experience with GPT APIs, such as Chat Completion, Familiarity with other programming languages such as C# or Java, adding a valuable dimension to the candidates technical toolkit, Validated experience in software development and the ability to autonomously understand an existing codebase, Curiosity about the functional aspects of the product, with a base knowledge of the finance industry being highly appreciated, Strong analytical and problem-solving skills, with a proactive approach and the ability to balance multiple projects simultaneously, Proficient in English, both written and spoken, Exposure with data visualization tools like Matplotlib, Power BI, or Tableau, Qualifications For candidates in India: B E , b-tech , MCA, or any other relevant engineering degree from a reputed university, A minimum of 5 years of proven experience in the field, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week Some business groups may require more time in the office due to their roles and responsibilities We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock, About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress, This mission would not be possible without our smartest investment the one we make in our employees Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive, For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: linkedin /company/blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law, Show

Position Description At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Your future duties and responsibilities Your future duties and responsibilities Job Title:Python & PySpark/Spark Developer Position:Python & PySpark/Spark Developer Experience:5+yrs Category: Softare Development Main location: Chennai/Bangalore Position ID: J0625-0234 Employment Type: Full Time Qualification : Bachelor of Engineering Your future duties and responsibilities Position: Python & PySpark/Spark Developer Experience: 6-8 years Location: Chennai(Preferred), Bangalore Shift: UK Shift Job Overview: Capital Markets Technology, Rates IT group is seeking an experienced Software Developer to work on a Risk Services platform supporting the Interest Rates, Structured and Resource Management trading desks. The platform stores risk analytics generated by a proprietary valuation engine and makes them available through a variety of interfaces to Traders, Risk managers, Finance, and others. The system also generates time-sensitive reports for financial and regulatory reporting. What will you do? Work as a member of a global team to build Technology solutions used across the Rates and Resource Management Trading businesses. Design, develop, and maintain reusable Java components for data loading, extracts and transformations. Lead project streams within the group, and mentor others on the team. Participate in requirements gathering and meetings with business stakeholders and other technology groups to produce analysis of the Use Cases and Solutions Designs. Provide second level of support for a Business-critical system Must Have: Strong technical developer with 7+ years hands on experience 4+ years application development experience in Python & PySpark/Spark. 4+ years of experience working on OO principles. Ability to write SQL Queries. Ability to write bash shell scripts. Ability to learn& adapt. Ability to communicate in clear & concise way. Experience in writing Unit test cases & perform thorough unit testing. Experience programming with Spring Boot, Java 8 Experience and Knowledge on Spark Framework, Experience programming in Java/ python and pySpark Familiarity with CI/CD pipelines and frameworks such as Git, Jenkins, maven / ansible etc CI/CD concepts. Unix/Linux basics. REST API basics. Nice to have: Experience in Capital Markets Experience with Spark and HDFS strongly desired Experience with in-memory databases Experience in Agile delivery using Jira Knowledge of Interest/Credit Derivative products, and related trade risk management and/or valuations. Required Qualifications To Be Successful In This Role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

What is Blend? Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role? We are looking for a forward-thinking Data & AI Engineer with 1–3 years of experience in data engineering and a passion for using modern AI tools to accelerate development workflows. The ideal candidate is proficient in Python, SQL, PySpark, and has experience working in on-premise big data environments (e.g., Spark, Hadoop, Hive, HDFS). This role is ideal for someone eager to blend traditional data engineering practices with AI-augmented software development, helping us build high-performance pipelines and deliver faster, smarter solutions. What you’ll be doing? Develop and maintain robust ETL/ELT pipelines using Python, SQL, and PySpark. Work with on-premise big data platforms such as Spark, Hadoop, Hive, and HDFS. Optimize and troubleshoot workflows to ensure performance, reliability, and quality. Use AI tools to assist with code generation, testing, debugging, and documentation. Collaborate with data scientists, analysts, and engineers to support data-driven use cases. Maintain up-to-date documentation using AI summarization tools. Apply AI-augmented software engineering practices, including automated testing, code reviews, and CI/CD. Identify opportunities for automation and process improvement across the data lifecycle. What do we need from you? 1–3 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role. Proficiency in Python for data manipulation, automation, and scripting. Solid understanding of SQL and relational database design. Experience building distributed data processing solutions with PySpark. Familiarity with on-premise big data ecosystems, including Hadoop, Hive, HDFS. Active use of AI development tools, such as: GitHub Copilot, Windsurf, Cursor – for intelligent code assistance ChatGPT or similar – for testing support, refactoring, and documentation AI-based testing frameworks or custom scripts Familiar with Git and CI/CD pipelines. Strong analytical skills and a mindset for automation and innovation. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Engineer What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for "Run" and "Build" project portfolio execution, collaborate with business partners and other IS service leads to deliver IS capability and roadmap in support of business strategy and goals. Real world data analytics, visualization and advanced technology play a vital role in supporting Amgen’s industry leading innovative Real World Evidence approaches. The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Collaborate and communicate effectively with product teams What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years' of experience in Computer Science, IT or related field Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools Excellent problem-solving skills and the ability to work with large, complex datasets Strong understanding of data governance frameworks, tools, and best practices. Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Preferred Qualifications: Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, OMOP. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Certified Data Scientist (preferred on Databricks or Cloud environments) Machine Learning Certification (preferred on Databricks or Cloud environments) SAFe for Teams certification (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Associate Data Engineer What You Will Do Let’s do this. Let’s change the world. In this vital role we seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling. Roles & Responsibilities: Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms. Managing and maintaining the AWS and Databricks environments. Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring. Maintain system uptime and optimal performance Working closely with cross-functional teams to understand business requirements and translate them into technical solutions. Exploring and implementing new tools and technologies to enhance ETL platform performance. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 2 to 6 years. Functional Skills: Must-Have Skills: Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms. Proficient in leveraging Python, PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes. Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills. Good-to-Have Skills: Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with Apache Spark, Apache Airflow Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Experienced with AWS, GCP or Azure cloud services What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Title: Data Scientist (Finance) Location: Fully Remote in India Duration: 12 month contract ****ONLY ACCEPTING IMMEDIATE JOINERS OR 30-DAY NOTICE PERIODS***** Required Skills & Experience • 6+ years experience as a Data Scientist building models, data exploration to model building, build blocks start to finish • Experience with data analysis, time series analysis/forecasting & forecasting algorithms, gradient boosting • Strong Python and PySpark programming skills • Experience in deploying and production monitoring ML models • Excellent communication, experience with stakeholder management Nice to Have Skills & Experience • Azure Databricks • AWS cloud experience • Azure Data Factory (ADF) • Understanding of clusters, how they are created • Previous Pepsi experience Job Description: A retail client is looking for a Data Scientists to join their Strategy and Transformation team and sit remotely in India. They will help to build out a complex global financial platform and deploy into production. They will be involved in data ingestion, experimentation, work closely with stakeholders, create model and machine learning pipelines, create dashboards with using PowerBI to review and present to business partners. Compensation: $10.00-12.00/HR USD

Title: Developer (AWS Engineer) Requirements Candidate must have 5-6 years of IT working experience with at least 3 years of experience on AWS Cloud environment is preferred Strong hands-on experience Proficient in Node.js and Python Seasoned developers capable of independently driving development tasks Ability to understand the existing system architecture and work towards the target architecture. Experience with data profiling activities, discover data quality challenges and document it. Good to have Experience with development and implementation of large-scale Data Lake and data analytics platform with AWS Cloud platform. Develop and unit test Data pipeline architecture for data ingestion processes using AWS native services. Experience with development on AWS Cloud using AWS services such as Redshift, RDS, S3, Glue ETL, Glue Data Catalog, EMR, PySpark, Python, Lake formation, Airflow, SQL scripts, etc Good to have Experience with building data analytical platform using Databricks (data pipelines), Starburst (semantic layer) on AWS cloud environment Experience with orchestration of workflows in an enterprise environment. Experience working with source code management tools such as AWS Code Commit or GitHub Experience working with Jenkins or any CI/CD Pipelines using AWS Services Working experience with Agile Methodology Experience working with an on-shore / off-shore model and collaboratively work on deliverables. Good communication skills to interact with onshore team.

Title: Developer (AWS Engineer) Requirements Candidate must have 5-6 years of IT working experience with at least 3 years of experience on AWS Cloud environment is preferred Strong hands-on experience Proficient in Node.js and Python Seasoned developers capable of independently driving development tasks Ability to understand the existing system architecture and work towards the target architecture. Experience with data profiling activities, discover data quality challenges and document it. Good to have Experience with development and implementation of large-scale Data Lake and data analytics platform with AWS Cloud platform. Develop and unit test Data pipeline architecture for data ingestion processes using AWS native services. Experience with development on AWS Cloud using AWS services such as Redshift, RDS, S3, Glue ETL, Glue Data Catalog, EMR, PySpark, Python, Lake formation, Airflow, SQL scripts, etc Good to have Experience with building data analytical platform using Databricks (data pipelines), Starburst (semantic layer) on AWS cloud environment Experience with orchestration of workflows in an enterprise environment. Experience working with source code management tools such as AWS Code Commit or GitHub Experience working with Jenkins or any CI/CD Pipelines using AWS Services Working experience with Agile Methodology Experience working with an on-shore / off-shore model and collaboratively work on deliverables. Good communication skills to interact with onshore team.

Title: Developer (AWS Engineer) Requirements Candidate must have 5-6 years of IT working experience with at least 3 years of experience on AWS Cloud environment is preferred Strong hands-on experience Proficient in Node.js and Python Seasoned developers capable of independently driving development tasks Ability to understand the existing system architecture and work towards the target architecture. Experience with data profiling activities, discover data quality challenges and document it. Good to have Experience with development and implementation of large-scale Data Lake and data analytics platform with AWS Cloud platform. Develop and unit test Data pipeline architecture for data ingestion processes using AWS native services. Experience with development on AWS Cloud using AWS services such as Redshift, RDS, S3, Glue ETL, Glue Data Catalog, EMR, PySpark, Python, Lake formation, Airflow, SQL scripts, etc Good to have Experience with building data analytical platform using Databricks (data pipelines), Starburst (semantic layer) on AWS cloud environment Experience with orchestration of workflows in an enterprise environment. Experience working with source code management tools such as AWS Code Commit or GitHub Experience working with Jenkins or any CI/CD Pipelines using AWS Services Working experience with Agile Methodology Experience working with an on-shore / off-shore model and collaboratively work on deliverables. Good communication skills to interact with onshore team.

As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards. Your tasks and responsibilities You will design and implement data & dashboarding solutions to maximize customer value. You will deploy and automate the data pipelines and dashboards to enable further project implementation. You embrace working in an international , diverse team, with an open and respectful atmosphere. You leverage data by making it available for other teams within our department as well to enable our platform vision . Communicate and work closely with other groups within Vanderlande and the project team. You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution. You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology , you will independently create stories and participate in the refinement process. You collect feedback and always search for opportunities to improve the existing standardized product. Execute projects from conception through client handover with a positive contribution on technical performance and the organization. You will take the lead in communication with different stakeholders that are involved in the projects that are being deployed. Your p rofile Bachelor's or master's degree in computer science, IT, or equivalent and a minimum of 6 + years of experience building and deploying complex data pipelines and data solutions. Experience developing end to end data pipelines using technologies like Databricks . E xperience with visualization software, preferably Splunk (or else PowerBI , Tableau, or similar). Strong experience with SQL & Python, with hands-on experience in data modeling . Hands-on experience with programming in Python or Java , and proficiency in Test-Driven Development using pytest . Experience with P yspark or S park SQL to deal with distributed data. Experience with d ata s chemas ( e.g. JSON/XML/Avro) . Experience in d eploying services as containers ( e.g. Docker , Podman ) . Experience in w orking with cloud services (preferably with Azure) . Experience with s treaming and/or batch storage ( e.g. Kafka, Oracle) is a plus . Experience in creating API s is a plus . Experience in guiding, motivating and training engineers. Experience in data quality management and monitoring is a plus. Strong communication skills in English. Skilled at breaking down large problems into smaller, manageable parts.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive data initiatives forward. Responsibilities: Design, build, and maintain scalable and efficient data pipelines that move, transform, and store large datasets. Develop and optimize ETL processes using tools such as Apache Spark , Apache Kafka , or AWS Glue . Work with SQL and NoSQL databases to ensure the availability, consistency, and reliability of data. Collaborate with data scientists and analysts to ensure data requirements and quality standards are met. Design and implement data models, schemas, and architectures for data lakes and data warehouses. Automate manual data processes to improve efficiency and data processing speed. Ensure data security, privacy, and compliance with industry standards and regulations. Continuously evaluate and integrate new tools and technologies to enhance data engineering processes. Troubleshoot and resolve data quality and performance issues. Participate in code reviews and contribute to a culture of best practices in data engineering. Requirements: 3-10 years of experience as a Data Engineer or in a similar role. Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra). Experience with big data technologies such as Apache Hadoop , Spark , Hive , and Kafka . Hands-on experience with cloud platforms like AWS , Azure , or Google Cloud . Proficiency in Python , Java , or Scala for data processing and scripting. Familiarity with data warehousing concepts, tools, and technologies (e.g., Snowflake , Redshift , BigQuery ). Experience working with data modeling, data lakes, and data pipelines. Solid understanding of data governance, data privacy, and security best practices. Strong problem-solving and debugging skills. Ability to work in an Agile development environment. Excellent communication skills and the ability to work cross-functionally.

POSITION OVERVIEW: We are seeking an experienced and highly skilled Data Engineer with deep expertise in Microsoft Fabric , MS-SQL, data warehouse architecture design , and SAP data integration. The ideal candidate will be responsible for designing, building, and optimizing data pipelines and architectures to support our enterprise data strategy. The candidate will work closely with cross-functional teams to ingest, transform, and make data (from SAP and other systems) available in our Microsoft Azure environment, enabling robust analytics and business intelligence. KEY ROLES & RESPONSIBILITIES : Spearhead the design, development, deployment, testing, and management of strategic data architecture, leveraging cutting-edge technology stacks on cloud, on-prem and hybrid environments Design and implement an end-to-end data architecture within Microsoft Fabric / SQL, including Azure Synapse Analytics (incl. Data warehousing). This would also encompass a Data Mesh Architecture. Develop and manage robust data pipelines to extract, load, and transform data from SAP systems (e.g., ECC, S/4HANA, BW). Perform data modeling and schema design for enterprise data warehouses in Microsoft Fabric. Ensure data quality, security, and compliance standards are met throughout the data lifecycle. Enforce Data Security measures, strategies, protocols, and technologies ensuring adherence to security and compliance requirements Collaborate with BI, analytics, and business teams to understand data requirements and deliver trusted datasets. Monitor and optimize performance of data processes and infrastructure. Document technical solutions and develop reusable frameworks and tools for data ingestion and transformation. Establish and maintain robust knowledge management structures, encompassing Data Architecture, Data Policies, Platform Usage Policies, Development Rules, and more, ensuring adherence to best practices, regulatory compliance, and optimization across all data processes Implement microservices, APIs and event-driven architecture to enable agility and scalability. Create and maintain architectural documentation, diagrams, policies, standards, conventions, rules and frameworks to effective knowledge sharing and handover. Monitor and optimize the performance, scalability, and reliability of the data architecture and pipelines. Track data consumption and usage patterns to ensure that infrastructure investment is effectively leveraged through automated alert-driven tracking. KEY COMPETENCIES: Microsoft Certified: Fabric Analytics Engineer Associate or equivalent certificate for MS SQL. Prior experience working in cloud environments (Azure preferred). Understanding of SAP data structures and SAP integration tools like SAP Data Services, SAP Landscape Transformation (SLT), or RFC/BAPI connectors. Experience with DevOps practices and version control (e.g., Git). Deep understanding of SAP architecture, data models, security principles, and platform best practices. Strong analytical skills with the ability to translate business needs into technical solutions. Experience with project coordination, vendor management, and Agile or hybrid project delivery methodologies. Excellent communication, stakeholder management, and documentation skills. Strong understanding of data warehouse architecture and dimensional modeling. Excellent problem-solving and communication skills. QUALIFICATIONS / EXPERIENCE / SKILLS Qualifications : Bachelors degree in Computer Science, Information Systems, or a related field. Certifications such as SQL, Administrator, Advanced Administrator, are preferred. Expertise in data transformation using SQL, PySpark, and/or other ETL tools. Strong knowledge of data governance, security, and lineage in enterprise environments. Advanced knowledge in SQL, database procedures/packages and dimensional modeling Proficiency in Python, and/or Data Analysis Expressions (DAX) (Preferred, not mandatory) Familiarity with PowerBI for downstream reporting (Preferred, not mandatory). Experience : • 10 years of experience as a Data Engineer or in a similar role. Skills: Hands-on experience with Microsoft SQL (MS-SQL), Microsoft Fabric including Synapse (Data Warehousing, Notebooks, Spark) Experience integrating and extracting data from SAP systems, such as: o SAP ECC or S/4HANA SAP BW o SAP Core Data Services (CDS) Views or OData Services Knowledge of Data Protection laws across countries (Preferred, not mandatory)

Job Title: Senior Machine Learning Engineer We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at . Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)

Responsibilities: * Design, develop & maintain data pipelines using Azure/AWS, Synapse Analytics, Fabric & PySpark.

As a Senior Data Engineer, you will proactively design and implement data solutions that support our business needs while adhering to data protection and privacy standards. In addition to this, you would also be required to manage the technical delivery of the project, lead the overall development effort, and ensure timely and quality delivery. Responsibilities : Data Acquisition : Proactively design and implement processes for acquiring data from both internal systems and external data providers. Understand the various data types involved in the data lifecycle, including raw, curated, and lake data, to ensure effective data integration. SQL Development : Develop advanced SQL queries within database frameworks to produce semantic data layers that facilitate accurate reporting. This includes optimizing queries for performance and ensuring data quality. Linux Command Line : Utilize Linux command-line tools and functions, such as bash shell scripts, cron jobs, grep, and awk, to perform data processing tasks efficiently. This involves automating workflows and managing data pipelines. Data Protection : Ensure compliance with data protection and privacy requirements, including regulations like GDPR. This includes implementing best practices for data handling and maintaining the confidentiality of sensitive information. Documentation : Create and maintain clear documentation of designs and workflows using tools like Confluence and Visio. This ensures that stakeholders can easily communicate and understand technical specifications. API Integration and Data Formats : Collaborate with RESTful APIs and AWS services (such as S3, Glue, and Lambda) to facilitate seamless data integration and automation. Demonstrate proficiency in parsing and working with various data formats, including CSV and Parquet, to support diverse data processing needs. Key Requirements: 5+ years of experience as a Data Engineer , focusing on ETL development. 3+ years of experience in SQL and writing complex queries for data retrieval and manipulation. 3+ years of experience in Linux command-line and bash scripting. Familiarity with data modelling in analytical databases. Strong understanding of backend data structures, with experience collaborating with data engineers ( Teradata, Databricks, AWS S3 parquet/CSV ). Experience with RESTful APIs and AWS services like S3, Glue, and Lambda Experience using Confluence for tracking documentation. Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels. Ability to work independently and manage multiple tasks and priorities in a dynamic environment. Bachelors degree in Computer Science, Engineering, Information Technology, or a related field. Good to Have: Experience with Spark Understanding of data visualization tools, particularly Tableau. Knowledge of data clean room techniques and integration methodologies.

Our Client is a professional services firm, is the Indian member firm affiliated with International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets, and competition. Our client has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, and Vadodara. Our client in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Responsibilities: Build and optimize data pipelines using Python and Pyspark Perform data analysis and generate reports Write and maintain SQL queries for data extraction Requirements Qualifications: Proficiency in Python, Pyspark, and SQL Experience in data analysis and pipeline development Strong analytical and problem-solving abilities Benefits Work with one of the Big 4's in India Healthy work Environment Work-Life Balance