1988 Migrate Jobs - Page 5

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position: Senior Manager Job Location- Bangalore/Hyderabad Responsibilities: Manage a team of highly skilled individuals to deliver high quality, high integrity, high performing, innovative solutions. Build a mature practice. Candidate will be responsible for performing one or more of the following functions: Understand the intricacies of Funds and Fund-of-Fund investment operations and financial statement reporting preferably Private Equity funds into Fund of Funds, Private credits, Loans, Private equity or/and Real Estate funds, Preparation and review of Financial Statements, Audit and Management Memos including pre-cycle preparations and in-cycle production. Perform fund accounting functions and fund administration including NAV Packs, Proof packs, Custody Reconciliation, IBOR/ABOR, capital calls, valuations and reconciliations, transactions and expense accounting. Experience in Private Equity Funds is preferred. On Real Estate funds, perform Investment Accounting and core real estate fund accounting, which includes understanding and articulation of Property management reports. Other Middle and Back Office functions like Counterparty Management, Liquidity Compliance and Monitoring, Derivative Compliance, Performance and Valuation Oversight, GIPS, Reconciliations like Cash reports, pricing reconciliations Preparation of various client reports Budget Forecast, 15C board reports, Expense Allocation Create and maintain various reference data sets like security master. Corporate Actions, Data Projects and Initiatives Transfer Agent Oversight including monitoring and reporting Data Governance including ABOR/PAYBOR, 19A Reporting, NAV Oversight Intermediary Oversight including Vendor Payment Management Review of new Close Ended Fund monitoring and reporting requirements Define new procedures and controls to enhance the overall operational risk process. Drive high-quality work products within expected timeframes and budget. Identify, evaluate, and suggest new technology opportunities that is value-driven for platform enablement and act as key differentiators for any offerings in WAM/BCM space. Facilitate and encourage the necessary conversations between the Business and Technology to determine the what and the how of the product features. Work with Technology and business partners in identifying process improvement areas and bring in the culture of automation. Collaborate with business, architects to translate business requirements into scalable solution options and provide inputs to product roadmap/strategy. Organize, lead, and facilitate multiple teams on highly complex, cross-functional, data and analytics initiatives. Keep the team motivated and carry positive attitude, resolve any conflicts. Create roadmap, design, and implement solutions to migrate legacy systems to next gen solutions. Partner with product management and business leaders to drive agile delivery of both existing and new offerings. Requirements: More than 15 years of experience in Asset management sector, Exposure to US based asset management will be an addon. Experience in financial statement reporting or regulatory reporting to various US based Regulators. Master’s degree in accounting or finance mandatory. MBA or CA is a must to have. A Strong understanding of financial industry with fund accounting, expense reporting, tax reporting, asset types and derivatives is mandatory. Functional knowledge: good knowledge and understanding of financial instruments and exposure to banking/WAM domains, Exposure to US based asset management will be an addon. People management experience with leading project teams and managing direct reports within an organization. General understanding of US GAAP and regulatory requirements is a plus. Experience on financial statements is a plus. Experience with software tools including document management systems, workflow systems, partnership accounting, investment accounting software like Yardi, Lemonedge is preferable. Crisp and effective executive communication skills, including significant experience presenting cross-functionally and across all levels. Understanding of the applications used in the FA or reporting process. Understanding BRD would be an added advantage. Should pay attention to detail, proficient in MS applications (Word, Excel, Power Point), excellent analytical skills and must display effective interaction capabilities with various stakeholders. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud platforms and services related to data storage and processing. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow. We are seeking an experienced Rust Engineer to lead the conversion of existing .NET applications to Rust. This role requires deep expertise in both Rust and .NET ecosystems, with a focus on maintaining functionality while leveraging Rust's performance and safety benefits. Responsibilities: Analyze existing .NET applications to deeply understand architecture, design patterns, dependencies, and business workflows Collaborate with cross-functional teams to capture business logic and requirements essential for successful migration Design equivalent Rust-based solutions that replicate and enhance the functionality, performance, and maintainability of original systems Migrate application layers— including data access, API endpoints, and business logic—from C#/.NET to Rust Refactor and optimize code to improve performance, resource efficiency, and memory safety using Rust's system-level features Select and integrate appropriate Rust libraries, tools, and frameworks as replacements for .NET components Ensure compatibility and smooth integration with external systems, services, and legacy interfaces during transition phases Develop automated tests (unit, integration, performance) to ensure functional parity between the legacy and converted applications Debug, test, and troubleshoot issues across platforms during development and post-deployment Maintain clear technical documentation, including migration procedures, architectural decisions, and design rationales Follow software engineering best practices, including version control, code reviews, and CI/CD pipeline integration Continuously monitor and improve system performance, scalability, and maintainability post-migration Requirements Technical Skills 3+ years of Rust development , with strong grasp of ownership, borrowing, lifetimes , and async/concurrent programming Experience with the Rust ecosystem: Cargo , crates.io , and common libraries 2+ years of .NET (Framework/Core/5+) , with solid knowledge of C# , ASP.NET , and Entity Framework Comfortable with project structures , dependency management , and runtime behavior in .NET Software Development Strong understanding of software architecture , design patterns , and RESTful APIs Experience with databases , ORMs , and version control (Git) Nice to Have Background in legacy system migration or modernization projects Familiarity with Docker/Kubernetes and cloud platforms ( AWS, Azure, GCP ) Exposure to microservices , performance tuning , or systems-level programming Benefits Competitive Salary Healthcare Benefit Package Career Growth

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience in programming languages such as Python or Scala for data processing. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required., 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Strong understanding of data pipeline architecture and design. - Experience with ETL processes and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of data quality frameworks and best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Chennai. - A 15 years full time education is required.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to optimize performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of data governance and data quality best practices. Additional Information: - The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Pune office. - A 15 years full time education is required.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Architecture Good to have skills : Python (Programming Language) Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. AWS Data Architect to lead the design and implementation of scalable, cloud-native data platforms. The ideal candidate will have deep expertise in AWS data services, along with hands-on proficiency in Python and PySpark for building robust data pipelines and processing frameworks. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. - Design and implement enterprise-scale data lake and data warehouse solutions on AWS. - Lead the development of ELT/ETL pipelines using AWS Glue, EMR, Lambda, and Step Functions, with Python and PySpark. - Work closely with data engineers, analysts, and business stakeholders to define data architecture strategy. - Define and enforce data modeling, metadata, security, and governance best practices. - Create reusable architectural patterns and frameworks to streamline future development. - Provide architectural leadership for migrating legacy data systems to AWS. - Optimize performance, cost, and scalability of data processing workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Architecture. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with data warehousing concepts and technologies. - Knowledge of programming languages such as Python or Java for data processing. - AWS Services: S3, Glue, Athena, Redshift, EMR, Lambda, IAM, Step Functions, CloudFormation or Terraform - Languages: Python ,PySpark .SQL - Big Data: Apache Spark, Hive, Delta Lake - Orchestration & DevOps: Airflow, Jenkins, Git, CI/CD pipelines - Security & Governance: AWS Lake Formation, Glue Catalog, encryption, RBAC - Visualization: Exposure to BI tools like QuickSight, Tableau, or Power BI is a plus Additional Information: - The candidate should have minimum 5 years of experience in AWS Architecture. - This position is based at our Pune office. - A 15 years full time education is required.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience in programming languages such as Python or Scala for data processing. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bengaluru office. - A 15 years full time education is required.

P&C Risk Management Developer Gurgaon, Haryana, India AXA XL is the Property & Casualty risk division of AXA, created from the acquisition of XL Catlin in 2018. We partner with mid-sized to multinational clients to take their business further, with more than 30 lines of business to offer solutions for existing and emerging risks. With 9,000+ colleagues based in approximately 30 countries; we are able to serve clients in more than 200 countries. The P&C Risk Management Developer will be a part of the AXA XL team, fully dedicated to supporting the Group P&C Risk Management department, tasked with enhancing risk calculation processes through the migration and optimization of existing code. This role emphasizes collaboration with the business team to develop data-driven solutions that improve the efficiency and scalability of risk management applications across many different perimeters, including Natural Catastrophes, Manmade Catastrophes, Cyber & Liability and the Group Internal Model. In this capacity, you will contribute to the development and maintenance of IT tools, ensuring that the systems utilized for risk calculations and reporting are robust, reliable and as efficient as possible. Your work will be essential in supporting the technical aspects of risk management initiatives, enabling the Group to effectively assess and mitigate risks in an ever-evolving environment. What You’ll Be DOING What will your essential responsibilities include? Migrate existing code from R and C# to Python connected with databases, optimizing performance for risk calculation processes. Develop and enhance risk calculation applications (underwriting, reserves, terrorism, geopolitical risks etc.) across various business areas in collaboration with the business team. Optimize and refactor code for improved performance, scalability, and maintainability. Conduct performance testing and debugging to ensure compliance with validation processes. Write and maintain compréhensive technical documentation for applications and processes. Collaborate with cross-functional teams to understand requirements and deliver effective data-driven solutions. Provide technical support and troubleshooting assistance to end-users within the Group. Stay updated on industry trends and best practices to contribute ideas for process improvements. You will report to Vice President, Insurance Operations. What You Will BRING We’re looking for someone who has these abilities and skills: Required Skills And Abilities Bachelor’s degree or equivalent in a relevant field (e.g. Engineering, Computer Science, Data Science, Mathematics). Relevant years of experience in IT development or support, with excellent programming skills in Python, R, SQL/Blob databases, and knowledge of C#. Understanding of statistical models, machine learning, and predictive analytics. Desired Skills And Abilities Ability to work collaboratively in a team environment with effective interpersonal skills. Analytical mindset with problem-solving abilities. Flexibility and adaptability to changing circumstances. Demonstrated rigor, motivation, autonomy, and proactivity. Curiosity and open-mindedness to learn about risk analytics and the insurance industry and explore new ideas and approaches. Who WE Are AXA XL, the P&C and specialty risk division of AXA, is known for solving complex risks. For mid-sized companies, multinationals and even some inspirational individuals we don’t just provide re/insurance, we reinvent it. How? By combining a comprehensive and efficient capital platform, data-driven insights, leading technology, and the best talent in an agile and inclusive workspace, empowered to deliver top client service across all our lines of business − property, casualty, professional, financial lines and specialty. With an innovative and flexible approach to risk solutions, we partner with those who move the world forward. Learn more at axaxl.com What we OFFER Inclusion AXA XL is committed to equal employment opportunity and will consider applicants regardless of gender, sexual orientation, age, ethnicity and origins, marital status, religion, disability, or any other protected characteristic. At AXA XL, we know that an inclusive culture and enables business growth and is critical to our success. That’s why we have made a strategic commitment to attract, develop, advance and retain the most inclusive workforce possible, and create a culture where everyone can bring their full selves to work and reach their highest potential. It’s about helping one another — and our business — to move forward and succeed. Five Business Resource Groups focused on gender, LGBTQ+, ethnicity and origins, disability and inclusion with 20 Chapters around the globe. Robust support for Flexible Working Arrangements Enhanced family-friendly leave benefits Named to the Diversity Best Practices Index Signatory to the UK Women in Finance Charter Learn more at axaxl.com/about-us/inclusion-and-diversity. AXA XL is an Equal Opportunity Employer. Total Rewards AXA XL’s Reward program is designed to take care of what matters most to you, covering the full picture of your health, wellbeing, lifestyle and financial security. It provides competitive compensation and personalized, inclusive benefits that evolve as you do. We’re committed to rewarding your contribution for the long term, so you can be your best self today and look forward to the future with confidence. Sustainability At AXA XL, Sustainability is integral to our business strategy. In an ever-changing world, AXA XL protects what matters most for our clients and communities. We know that sustainability is at the root of a more resilient future. Our 2023-26 Sustainability strategy, called “Roots of resilience”, focuses on protecting natural ecosystems, addressing climate change, and embedding sustainable practices across our operations. Our Pillars Valuing nature: How we impact nature affects how nature impacts us. Resilient ecosystems - the foundation of a sustainable planet and society - are essential to our future. We’re committed to protecting and restoring nature - from mangrove forests to the bees in our backyard - by increasing biodiversity awareness and inspiring clients and colleagues to put nature at the heart of their plans. Addressing climate change: The effects of a changing climate are far-reaching and significant. Unpredictable weather, increasing temperatures, and rising sea levels cause both social inequalities and environmental disruption. We're building a net zero strategy, developing insurance products and services, and mobilizing to advance thought leadership and investment in societal-led solutions. Integrating ESG: All companies have a role to play in building a more resilient future. Incorporating ESG considerations into our internal processes and practices builds resilience from the roots of our business. We’re training our colleagues, engaging our external partners, and evolving our sustainability governance and reporting. AXA Hearts in Action: We have established volunteering and charitable giving programs to help colleagues support causes that matter most to them, known as AXA XL’s “Hearts in Action” programs. These include our Matching Gifts program, Volunteering Leave, and our annual volunteering day - the Global Day of Giving. For more information, please see axaxl.com/sustainability.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Hyderabad. - A 15 years full time education is required.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs, while also troubleshooting any issues that arise in the data flow. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data warehousing solutions. - Strong understanding of data modeling and database design principles. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. - Familiarity with programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Hyderabad. - A 15 years full time education is required., 15 years full time education

We’re seeking someone to join our team as an Associate in the Fixed Income Transformation team within ISG Fixed Income primarily responsible to support various FX Ops projects required to support business growth, migrate to strategic system from legacy system, support industry mandates, and a variety of business enabled front to back projects. In the Operations division, we partner with business units across the Firm to support financial transactions, devise and implement effective controls and develop client relationships. This is an Associate level within Change, Analytics & Strategy, which is responsible for developing operating and technology strategies, managing and executing transformation initiatives, leading Agile fleet activities, driving innovation, developing analytics solutions and delivering business outcomes. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What You'll Do In The Role Execute complex processes and assist a Team Manager in coordinating processes, risks and/or projects in a Team Lead capacity Recognize risk in day-to-day processes to draw out the key issues and leverage detailed knowledge to propose changes in process Train others, allocate tasks and support with first line escalation where required Serve as the project manager and business analyst and be accountable for overseeing multiple projects through multiple phases with ultimate responsibility for successful delivery of the assigned projects on-time and in budget Take responsibility for the definition and realization of project business case including cost and risk reduction opportunities and conceive innovative strategic solutions through software delivery, re-engineering opportunities or other business transformation activity Report accurate progress, risks and issues; ensure benefits are tracked and realized; and manage and maintain vendor relationships in order to deliver on projects Understand the detail of Industry and Regulatory change driving projects, participate in industry forums What You'll Bring To The Role Comprehensive knowledge and understanding of functional area and operational/compliance policies and procedures of their team Ability to operate independently with respect to some job responsibilities Culture carrier across Operations, embracing the Firm's core values Demonstrate analytical skills and attention to detail in their prior work experience Experience in large-scale project /portfolio change management Mobilize cross functional teams to resolve issues using both tactical and strategic solutions Anticipate problems/obstacles and understand the ramifications to business Proficiency with Microsoft Office applications, including Outlook, Word, Excel, PowerPoint, Project, Visio preferred At least 4 years' relevant experience would generally be expected to find the skills required for this role What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Job Description: We are looking for Software Engineers to build and implement Unpod.ai’s platform based on the latest open source technologies. Job responsibilities will be cross-functional, ranging from "clean" coding to architectural changes to client interactions. Over a period of time you're expected to challenge the existing tech stack and add your baby components to it. A person should be a team player, should have an eye for detail, and problem-solving skills. Technical Skills : Python, Django, FastApi, Celery, Rest, Flask, Pydantic, Requirements: 4+ Years of experience as a Software Engineer in the design, analysis, and implementation of web server applications using Python. Insightful knowledge in scalable web application development using Python/Django/fastapi, data structures, algorithms, and design patterns. Familiarity with Agile development methodologies. Do high-level technical design with guidance, functional modeling, break-down of modules by thinking platforms, and re-use. Exposure in application hosting with uvicorn, nginx server. Exposure of docker, kubernetes, CI/CD pipelines. Monitoring performance, optimizing the architecture and advising any necessary infrastructure changes to suit your application needs. Creating a platform on top of stored data, rest apis also makes sense to migrate the same in microservice architecture. Sense of ownership and attention to details. Responsibilities : · Produce clean, efficient code based on specifications · Integrate software components and third-party programs libraries · Verify and deploy programs and systems · Troubleshoot, debug and upgrade existing applications · Recommend and execute improvements · Create technical documentation for reference and reporting · Excellent verbal and written communication skills · Resourcefulness and troubleshooting aptitude * Kindly mention your email ID while applying for the job to speed up the process.

Job Description The Solution Consultant is responsible for providing consulting services with the overall objective of designing and implementing software solutions for customers. Responsibilities Observe and assist senior team members as they perform requirements analysis in which information about business process and technical requirements are gathered from key client stakeholders. Compose and deliver documentation outlining requirements for configuring the solution with direct oversight from team members. Build solution as designed by senior team member including configuring the company's application development tools with direct oversight from team members. Test the configured solution and ensure solution is functioning as designed; work with team members to resolve any issues. Compose training materials and conduct training sessions for customer with direct oversight from team members Participate in solution design with oversight from senior team members Develop plan for migration with direct oversight from senior team members; migrate configured solutions into production environment and support customer throughout migration process Transition key information to the company's technical support team to ensure continued successful support of customer Assist with upgrade plans and execution of upgrades to newer versions Assist with demonstrating the configured solution or prototypes of the solution Minimum Qualifications Bachelor's Degree or equivalent Knowledge of scripting system architecture or relational databases Able to thrive in a fast paced deadline driven environment Speak or write with ease clarity and impact using a communication style appropriate to the subject and the audience Able to thoroughly investigate situations or issues to get relevant information; adept at asking probing questions to succesfully obtain quality information Organized and experienced at successfully multi-tasking Solid collaboration skills applied successfully within team as well as with other areas Self-motivated with the ability to complete projects in a timely manner Demonstrated ability to use sound judgment and appropriately escalate issues for guidance Average travel requirements for this job is 30% annualized yet unique circumstances with customers may require more travel. Or an equivalent combination of education and experience sufficient to successfully perform the principal duties of the job

Job Title : SEO Specialist Conduct monthly SEO audits to identify areas for improvement Generate and review weekly performance reports Perform quarterly competitor analysis Update keyword strategy based on seasonal trends Research emerging SEO tools and techniques Review and optimize older content for improved performance Analyze backlinks and identify opportunities for link-building Provide training and updates to the marketing team on SEO best practices Resolve remaining redesign errors on WorkstyleSpaces.com and document a permanent-fix plan Migrate the internal software to WorkstyleSpaces.com and publish an alphabetized glossary page Identify and fix all mobile-user-friendliness issues on WorkstyleSpaces.com Conduct a comprehensive URL audit for WorkstyleSpaces.com and map required redirects Required Skills and Qualifications: Conduct keyword research and analysis Optimize website content and structure Perform SEO audits and provide recommendations Monitor and report on website performance Collaborate with content creators and web developers Stay updated with SEO trends and algorithm changes Implement on-page and off-page SEO strategies Track and analyze SEO metrics Bachelor’s degree in Marketing, Communications, or related field Knowledge of SEO tools and web analytics software Training in SEO best practices and strategies Job Location: Vadodara (WFO) Timings : 12PM-9PM/ 2PM-11PM Job Type: Full-time Pay: ₹25,000.00 - ₹30,000.00 per month Benefits: Food provided Health insurance Work from home Schedule: Monday to Friday Supplemental Pay: Shift allowance Yearly bonus Work Location: In person

Application Security Analyst Role & responsibilities: Preferred candidate profile: - 4 -5 years of experience in Vulnerability Assessment and Management, Security Design and Implementation (SDLC), Compliance and Governance. Other Details: Experience: 4 -5 years Location: Mumbai Desirable: Experienced in Vulnerability Assessment and Management, Security Design and Implementation (SDLC), Compliance and Governance, Collaboration and Communication. Work Mode: WFO Immediate Joining (15-30 days Notice Period Preferred) Company Description Infocus Technologies Pvt Ltd is a Kolkata-based consulting company that provides SAP, ERP & Cloud consulting services. The company is an ISO 9001:2015 DNV certified, CMMI Level 3 Certified company, and a Gold partner of SAP in Eastern India. Infocus helps customers to migrate and host SAP infrastructure on AWS cloud. Its services in the ERP domain include implementation, version upgrades, and Enterprise Application Integration (EAI) solutions.

Data Modeler – Hybrid Data Environments Job Summary: We are in search of an experienced Data Modeler who possesses a deep understanding of traditional data stores such as SQL Server and Oracle DB, as well as proficiency in Azure/Databricks cloud environments. The ideal candidate will be adept at comprehending business processes and deriving methods to define analytical data models that support enterprise-level analytics, insights generation, and operational reporting. Key Responsibilities: - Collaborate with business analysts and stakeholders to understand business processes and requirements, translating them into data modeling solutions. - Design and develop logical and physical data models that effectively capture the granularity of data necessary for analytical and reporting purposes. - Migrate and optimize existing data models from traditional on-premises data stores to Azure/Databricks cloud environments, ensuring scalability and performance. - Establish data modeling standards and best practices to maintain the integrity and consistency of the data architecture. - Work closely with data engineers and BI developers to ensure that the data models support the needs of analytical and operational reporting. - Conduct data profiling and analysis to understand data sources, relationships, and quality, informing the data modeling process. - Continuously evaluate and refine data models to accommodate evolving business needs and to leverage new data modeling techniques and cloud capabilities. - Document data models, including entity-relationship diagrams, data dictionaries, and metadata, to provide clear guidance for development and maintenance. - Provide expertise in data modeling and data architecture to support the development of data governance policies and procedures. Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 5 years of experience in data modeling, with a strong background in both traditional RDBMS and modern cloud-based data platforms. - Proficiency in SQL and experience with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). - Familiarity with Azure cloud services, Databricks, and other big data technologies. - Understanding of data warehousing concepts, including dimensional modeling, star schemas, and snowflake schemas. - Ability to translate complex business requirements into effective data models that support analytical and reporting functions. - Strong analytical skills and attention to detail. - Excellent communication and collaboration abilities, with the capacity to engage with both technical and non-technical stakeholders.

MSBC is looking for a skilled C# Developer with expertise in AWS Cloud to build cutting-edge financial services software. Be part of an innovative team transforming enterprise applications that drive global financial markets. Key Tools and Frameworks Candidates must have expertise in these technologies: Cloud and Infrastructure: AWS (SQS, S3, Lambda), Serverless Architecture, Docker, NoSQL databases (DynamoDB), CI/CD tools (Jenkins, GitLab CI). Programming: .NET 8/9 features, Microservices Architecture, Async/Await, Parallel.For, Task-based Programming. Messaging: Kafka, RabbitMQ, GraphQL. Development Tools: Test-Driven Development (TDD), HTML, CSS, JavaScript. Key Responsibilities Develop and maintain applications using C# and .NET. Migrate legacy systems to the cloud and integrate AWS services. Collaborate globally to enhance application features and performance. Design and optimise CI/CD pipelines. Resolve issues in development and production. Required Skills & Qualifications 5+ years of C# and .NET development experience. Expertise in cloud architecture, REST APIs, and relational databases. Proficiency with Git, Agile methodologies, and multithreaded applications. Strong problem-solving and debugging skills. Excellent English communication skills. Note This role follows UK shift timings and is based in Ahmedabad. Candidates from other locations can apply, as remote and hybrid work options are available. About us With over 20 years of experience, MSBC Group delivers cutting-edge technology solutions across industries like financial services, manufacturing, logistics, and startups. Our expertise spans AI, custom software, staff augmentation, and managed services. Operating globally, we drive innovation in trading platforms, application migrations, and real-time analytics, making us a trusted AI and automation partner.

Job description Obtain background data from client's current Accounting software, regarding Trial Balance, Profit & Loss Statements, Balance Sheets, Bank Reconciliation reports. Prepare these financial data load files and migrate from old system to new ERP Reconcile the Books of Accounts in the new ERP Use various tools and processes to complete Financial and Non-financial data migrations from other software packages into our product. Participate in detailed design and product test execution as required. Must have excellent MS Excel skills & at least 4 years of experience in accounting . Excellent written & verbal communication. When needed, take calls in the evening from home. Timings: 10:00 am to 7:00 pm IST

Location: India based, remote work. Time: 10:30 AM – 7:30 PM IST (Indian Standard Time) About Data Meaning Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We are dedicated to bringing premier services to our diverse clientele. We have a global team of 95+ consultants, all working remotely, embodying a collaborative, inclusive, and innovative-driven work culture. Position Summary: We are looking for an experienced and technically proficient Level 2/3 SAP BW Support Analyst to provide advanced support, maintenance, and development services within the SAP BW environment. In addition to supporting existing SAP BW operations, this role will play a key part in the transition of data models and logic from SAP BW to Snowflake, working closely with data architecture and engineering teams to ensure a smooth migration. The ideal candidate brings deep BW expertise with a strong understanding of modern data platforms and a desire to help evolve the organization’s data landscape. Responsibilities: Process Chain Monitoring & Support Monitor and support daily, weekly, and monthly process chains in the SAP BW environment Analyze and troubleshoot process chain failures, ensuring timely resolution and minimal business disruption Collaborate with the LP DE/BI Team and BASIS teams to escalate and resolve performance or system-related issues Document root causes, resolutions, and process improvement opportunities Reverse Engineering of BW Objects Analyze existing BW objects such as InfoProviders, DTPs, Transformations, and Queries to identify data lineage and dependencies Reverse engineer legacy solutions to extract embedded business logic in preparation for system optimization or migration (e.g., to Snowflake) Translate reverse-engineered logic into technical specifications to support the cloud data platform transition Data Flow Design & Development Design and implement scalable and efficient data flows from source systems (SAP and non-SAP) to BW targets such as ADSOs, InfoCubes, and CompositeProviders Develop and enhance BW components including InfoObjects, ADSOs, Transformations, DTPs, and CompositeProviders Ensure alignment of data models and flows with business requirements and best practices Participate in performance tuning, transport management, and deployment cycles Support SAP BW to Snowflake Transition Collaborate with data engineers, architects, and business analysts to migrate existing BW data models and logic to Snowflake Provide detailed documentation of existing BW logic to support the re-platforming effort Participate in validation and parallel run activities to ensure accuracy and integrity of migrated data and transformations Act as a BW subject matter expert in workshops and technical discussions related to the migration effort Required Skills & Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field 5+ years of hands-on experience with SAP BW, including BW 7.x and/or BW/4HANA Strong expertise in process chain monitoring and debugging Proficient in BW object modeling, including InfoObjects, DTPs, Transformations, ADSOs, CompositeProviders Solid understanding of data warehousing principles, ETL processes, and SAP data sources (including ECC and S/4HANA) Experience with data platform modernization or cloud migrations (Snowflake preferred) Strong analytical and problem-solving skills Effective communicator with experience working across technical and functional teams Excellent communication skills in English (written and verbal) Ability to work independently and handle incident resolution with limited documentation Preferred Skills: Experience with SAP BW/4HANA migrations or upgrade projects Hands-on experience or exposure to Snowflake or other modern cloud data platforms Familiarity with SQL-based ELT tools and cloud data integration approaches Knowledge of integration with BI tools like Power BI or Tableau is desirable Work Conditions: May require occasional weekend support for critical releases or patch activities On-call availability for urgent issue resolution based on business priority Powered by JazzHR sMzNoy5yHg

At PwC, our people in infrastructure focus on designing and implementing robust, secure IT systems that support business operations. They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. Those in cloud operations at PwC will focus on managing and optimising cloud infrastructure and services to enable seamless operations and high availability for clients. You will be responsible for monitoring, troubleshooting, and implementing industry leading practices for cloud-based systems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Azure Operation Analyst (Associate/Senior Associate) Demonstrates thorough abilities and/or a proven record of success as a team leader : Managing and support the Dev to Production cloud PaaS and platform, to establish quality, performance, and availability of hosted services; Providing guidance and support for cloud technology practitioners (Application Development team); Providing Implementation and Run & Maintain services; Working on high volume mission critical systems; Providing on call support for Production cloud Environments; Working hands-on with customers to develop, migrate, and debug services issues; Providing updated server/process documentation and as appropriate, creating documentation where none may exist; Focusing on rapid identification and resolution of customer issues; Answering questions and perform initial triage on problem reports; Providing first/second level cloud environment support; Working very closely with application users to troubleshoot and resolve cloud hosted applications or system issues; Informing Technical Support Management about any escalations or difficult situations that require his/her involvement; Providing Cloud customers with an industry leading customer experience when engaging Technical Support; Assisting in Tier 2 and 3 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function; Training and supporting junior team members in resolving product support tickets; Proactively identifying ways to optimize the product support function; Coordinating to establish and manage clear escalation guidelines for supported system components; Running database queries to lookup, resolve, issues; Demonstrating proven communication and collaboration skills to coordinate with developers and application team to negotiate and schedule patching windows; Demonstrating experience in managing the monthly Windows or Linux environment patching. Must Have Qualifications Hands-on experience with Azure Web apps, App Insights, App Service Plan, App Gateway, API Management, Azure Monitor, KQL queries and other troubleshooting skills for all Azure PaaS & IaaS Services. Proven verbal and written communication skills, which will be key in driving customer communication during critical events Demonstrating proficiencies in at least one of the technology domains Networking Principles, System Administration, DevOps, Configuration Management and Continuous Integration Technologies (Chef, Puppet, Docker, Jenkins) Proven understanding of ITIL framework Good To Have Qualifications Interest in information security and a desire to learn techniques and technologies such as application security, cryptography, threat modeling, penetration testing

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.

About Us We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide. Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day). About The Role The Imports and Exports team enables seamless content transfer between Notion and other productivity tools. You will help build user experience and migration capabilities that ensure reliable, large-scale content transfers. Your work will drive user growth and support Notion's expansion into the enterprise market. We are looking for an experienced engineer who excels at problem-solving, collaborates effectively, and thrives in a team environment. What You'll Achieve You’ll contribute to Notion's user growth by building a delightful user experience that enables users to seamlessly migrate their content from existing productivity tools. You’ll contribute to the overall design, scale, reliability and robustness of the systems responsible for moving large amounts of customer data into and out of Notion. You would be enabling Notion move upmarket by working with a team of engineers and cross-functional partners across product, design & professional services to reliably migrate some of Notion’s biggest Enterprise customers from third-party applications. Skills You'll Need To Bring Proven track record of execution: You have 7+ years of engineering experience, including several years building world-class product experiences alongside a team of engineers. Building the team: You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth, but also the growth, learning, and development of your teammates. Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. Empathetic communication: You clearly communicate complex ideas to both technical and non-technical stakeholders—whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Nice To Haves You're proficient with any part of our technology stack: React, TypeScript, Node.js, Memcached, Postgres, Docker, and Elasticsearch. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.