64 Aws Technologies Jobs - Page 3

Senior Manager Information Systems What you will do In this vital role you will play a key role as part of Operations Generative AI (GenAI) Product team to deliver cutting edge innovative GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) under Operations. The role involves developing and implementing GEN AI solutions and strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions adhering to Amgen Enterprise AI strategy and roadmap. Role Description: In this vital role as Senior Manager Information Systems, you will lead a dynamic team of technical product owner, data engineers, AI & software engineers, business analysts, test/validation engineers and scrum master to deliver cutting edge innovative GEN AI solutions across various Process development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations area . The role involves developing and implementing cutting edge GEN AI solutions and strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions adhering to Amgen Enterprise AI strategy and roadmap. You will also be the reporting manager for this team and will be responsible for the coaching and development of these resources. The team will rely on your leadership to own and refine the vision, feature prioritization, partner alignment, and experience leading solution delivery while building this ground-breaking new capability for Amgen The ideal candidate will have a consistent track record of leadership in technology-driven environments with a passion for fostering innovation and excellence in the biotechnology industry. This role requires deep expertise in handling the end-to-end development and delivery of customer-facing digital product capabilities and platforms leverage generative AI based digital solutions. They should also have experience leading and effectively working with large, diverse and globally dispersed teams within a matrixed organization. Extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle, technical product ownership, business analysis, and be a Scaled Agile practitioner, coupled with leadership and transformation experience. This role demands the ability to drive and deliver against key organizational critical initiatives, develop a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Maintain strategic relationships and strong communication with the leadership team to ensure all collaborators feel informed and engaged Oversee the software development lifecycle, ensuring standard methodologies in development, testing, and deployment across the product teams Lead and handle large teams with varied strengths within a matrixed organization, collaborating with geographically dispersed teams, including those in the US and international locations Develop and implement strategic roadmaps and plans for technology and workforce growth, including recruiting top talent and building a robust team in India Developing talent, motivating the team, delegating effectively, championing diversity within the team, and acting as a role model of servant leadership Ensuring global ways of working are embedded in the local organization Develop a culture of collaboration, innovation, and continuous improvement, driving talent development, motivation, and effective delegation Fostering standard methodology sharing and alignment with business goals Collaborate with Platform Owners, Product Owners, Service Owners, and delivery teams to ensure delivery matches commitments, acting as a critical issue point and facilitating communication when service commitments are unmet Participate in team member and leadership meetings, working with other parts of the organization and functional groups to ensure successful delivery and alignment with strategy, compliance, and regulatory requirements Remain accountable for ensuring overall organizational security and compliance with quality and GxP in technology services Monitor emerging AI tools and technologies and trends to find opportunities for platform growth and expansion Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate Degree and 2 years of experience in Engineering, IT or related field OR Masters degree with 8 - 10 years of experience in Engineering, IT or related field OR Bachelors degree with 10 - 14 years of experience in Engineering, IT or related field OR Diploma with 14 - 18 years of experience in Engineering, IT or related field Background as a Technical Product Owner (TPO), people manager, and business analyst, ensuring the ability to oversee and guide a team to translate business needs into definition and delivery of technical solutions, guiding development teams, prioritizing features, and ultimate delivery and management of the digital products. Proven leadership skills with the ability to lead large matrixed teams, demonstrated experience in leading and developing a hard-working team of technology professionals, building a culture of innovation and continuous improvement within the team to deliver powerful solutions and platform improvements. Experience in implementing innovative web applications, Data Engineering and integration, Enterprise data fabric concepts, methodologies, and technologies e.g. React js, Python, Django, Fast API, AWS technologies, Databricks, DevOps CI/CD Experience in implementing innovative scalable GEN AI solutions using Retrieval-augmented generation (RAG), AI Agents, Vector stores, AI/ML platforms, embedding models e.g Open AI, Langchain, Redis, pgvector. Experience in implementing a strategic roadmap and driving transformation initiatives using Scaled Agile methodology. Strong skills in collaborating and communicating with cross-functional teams, business collaborators, and executives to ensure alignment of platform initiatives with business outcomes, handling expectations, and ensuring successful delivery of projects. Degree in Computer Science, Information Systems, Engineering, or Life Sciences. Preferred Qualifications: At least 5 --8 years of domain knowledge in health and/or life sciences combined with Information Technology Understanding, and preferably applied experience and knowledge, in data management and CTD document drafting Leadership experience within a highly regulated pharmaceutical or technology organization, with the ability to ensure compliance with industry regulations and standard methodologies for GxP software validation. Experience driving a collaborative culture that values technical depth, accountability, and customer service. Strong problem-solving and analytical skills. Demonstrated ability to work effectively in a fast-paced, dynamic environment. Understanding of ITIL processes and implementation. Experience handling vendor relationships and working with external partners or consultants to ensure optimal performance, support, and development of digital products. Soft Skills: Excellent leadership and team management skills. Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams

Job Information Job Opening ID ZR_2174_JOB Date Opened 10/04/2024 Industry Technology Job Type Work Experience 8-10 years Job Title Lead - Backend Engineer City Bangalore Province Karnataka Country India Postal Code 560029 Number of Positions 4 Responsibilities Design and build solutions for complex business workflows Understanding the user persona and deliver slick experience. Take end to end ownership of components and be responsible for the sub systems that you work on from design, code, testing, integration, deployment, enhancements etc. Write high quality code and taking responsibility of their task Solve performance bottlenecks Mentor junior engineers Communicate and collaborate with management, product, QA, UI/UX teams. Deliver with quality, on time in a fast-paced start-up environment: Bachelor/Master's in computer science or relevant fields 8 + years of relevant experience. Strong sense of ownership. Excellent Java and object-oriented development skills. Experience in building and scaling microserives Strong problem solving skills, technical troubleshooting and diagnosing Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Strong knowledge in RDBMS and NoSql technologies Experience in developing backeds for enterprise systems like eCommerce / manufacturing / supply chain etc. Excellent understanding of Debugging performance and optimisation techniques. Experience in Java, Mongo, MySQl, AWS technologies, ELK stack, Spring boot, Kafka Experience in developing any large scale Experience in cloud technologies Demonstrated ability to deliver in a fast paced environment Good Communication SkillsAdd ons: Experience in Big Data Technologies, Data Warehousing AI/ML experience Experience in architecting large scale SaaS products/platforms like eCommerce, manufacturing, supply chain, etc., check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

We are seeking a highly experienced and innovative Solution Architect with expertise in Java and AWS technologies to lead the design and implementation of scalable, high-performance solutions. This role offers an exciting opportunity to work on cutting-edge projects in cloud-native and microservices architectures while collaborating directly with clients and cross-functional teams. Responsibilities Translate business requirements into scalable, secure, and cost-effective solutions aligned with enterprise standards Define architecture vision across application, integration, and infrastructure layers, ensuring alignment with business goals Apply industry best practices and patterns, including microservices, serverless, and event-driven architectures Create and maintain detailed architecture documentation such as solution design diagrams, narratives, and work breakdown structures Facilitate technical brainstorming sessions, architecture workshops, and whiteboarding exercises with teams and stakeholders Conduct technical reviews, design validations, and walkthroughs of solution proposals with customers Lead decision-making processes for architecture spanning data, security, scalability, and integration domains Drive modernization initiatives by utilizing modern technology stacks and approaches for greenfield projects Oversee alignment with non-functional requirements (NFRs) such as performance, security, scalability, and high availability Collaborate in the adoption of architectural quality frameworks like Utility Trees and Quality Attribute Workshops Manage architectural complexities in cloud-native and serverless applications to ensure robust design principles are adhered to Requirements 13–19 years of professional experience with strong understanding of enterprise-scale solutions Proven expertise in Java 11/17+, Spring Boot, Spring Cloud, RESTful APIs, and microservices architecture Strong implementation knowledge of AWS services including Lambda, EC2, S3, RDS, API Gateway, Step Functions, SNS/SQS Completion of at least 3 solution architecture projects over the past 5 years Background in designing and building cloud-native applications and serverless solutions Showcase of driving architectural decisions across complex domains like data, security, and integration Experience in customer-facing technical discussions, architecture workshops, and reviews Familiarity with non-functional requirements such as security, scalability, high availability, and performance optimization Understanding of architectural quality frameworks including Utility Trees and Quality Attribute Workshops

Job Summary We are seeking a skilled Cloud Developer with 4 to 7 years of experience to join our team. The ideal candidate will have extensive experience with AWS Cloud services and a strong background in the Process Manufacturing Industry. This hybrid role requires a deep understanding of various AWS tools and services to optimize our cloud infrastructure. The position operates during the day shift and does not require travel. Responsibilities Develop and maintain cloud-based solutions using AWS services to support business objectives. Implement and manage AWS CloudWatch for monitoring and logging of cloud resources. Design and deploy infrastructure using AWS CloudFormation templates. Configure and manage AWS Virtual Private Network for secure connections. Implement and manage AWS Backup solutions to ensure data integrity and availability. Utilize Amazon EBS for scalable storage solutions. Manage secrets and keys using AWS Secret Manager and AWS Key Management Service. Deploy and manage virtual servers using AWS EC2. Design and manage virtual private clouds using AWS VPC. Implement and manage relational databases using AWS RDS. Optimize content delivery using AWS CloudFront. Configure and manage DNS settings using AWS Route53. Implement scalable storage solutions using Amazon S3. Configure and manage load balancing using AWS Elastic Load Balancing. Manage user access and permissions using AWS IAM. Collaborate with cross-functional teams to ensure cloud solutions align with business needs. Provide technical support and troubleshooting for cloud-based applications. Stay updated with the latest AWS services and best practices to ensure optimal performance. Ensure compliance with industry standards and regulations in the Process Manufacturing Industry. Document cloud infrastructure and processes for future reference. Participate in code reviews and provide constructive feedback to peers. Continuously improve cloud infrastructure to enhance performance and reduce costs. Conduct regular security assessments to identify and mitigate potential risks. Provide training and support to team members on AWS services and best practices. Contribute to the companys overall cloud strategy and roadmap. Ensure high availability and disaster recovery plans are in place and tested regularly. Collaborate with stakeholders to gather requirements and deliver cloud solutions that meet their needs. Drive innovation by exploring new AWS services and technologies to improve business outcomes. Qualifications Must have experience with AWS Cloud AWS CloudWatch AWS CloudFormation AWS Virtual Private Network AWS Backup Amazon EBS AWS Secret Manager AWS Key Management Service AWS EC2 AWS VPC AWS RDS AWS CloudFront AWS Route53 Amazon S3 AWS Elastic Load Balancing AWS IAM. Must have domain experience in the Process Manufacturing Industry. Should have strong problem-solving skills and the ability to troubleshoot complex issues. Should have excellent communication and collaboration skills. Should have a proactive approach to learning and staying updated with the latest industry trends. Should have experience working in a hybrid work model. Should have the ability to work independently and as part of a team. Certifications Required AWS Certified Solutions Architect AWS Certified DevOps Engineer

Responsibilities: Analyze stories that have been written by Product Owner and perform an estimation of the complexity Work on all aspects of software development life cycle following agile methodologies Gather information and feedback from end users to understand and develop project requirements Conduct project design sessions and design solutions to meet current project requirements and be flexible enough to accommodate future project needs Perform reviews and integration testing to assure quality of project development efforts Ensure project tasks are assigned and completed in a timely manner and project milestone dates are met Setup a strategy to implement the stories Deliver with best quality Provide support and maintenance Collaborate effectively with technical and non-technical stakeholders Follow Agile best practices Raise concerns about incomplete or poor requirements Attend all Scrum ceremonies What We're Looking For: Bachelor's degree in Computer Science, Engineering, or related discipline 5+ years of in-depth development experience with C#/.NET, object-oriented design and building backend applications with REST API services using .NET Core Full Stack application development experience Proven ability in leading the design and development of API or data integration applications Expertise in web services, REST, WCF, and WebAPI Experience with developing APIs for data access using WebAPI with ODATA Experience in database design and advanced query techniques (DML and performance tuning) Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development Experience with DBMS such as Oracle, SQL, PostgreSQL Experience with DevOps practices and modern CI/CD deployment models using Jenkins/Ansible Experience leading team of engineers in the design, development, and maintenance of software code for business applications Provide technical guidance and coaching for less experienced team members Strong written and verbal communication skills Nice to Have: Knowledge on AWS technologies (e.g. EC2, RDS, ALB, Auto-scaling, S3, IAM, CloudWatch) to develop and maintain an Amazon AWS-based cloud solution

The AWSProducts(Competency->AmazonWebService(AWS)CloudComputing)E0 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the AWSProducts(Competency->AmazonWebService(AWS)CloudComputing)E0 domain.

Job Title : Data Engineer II Experience : 6+ Years Location : Remote (India) Job Type : Full-time Job Description : We are looking for a highly skilled Data Engineer II with 6+ years of experience, including at least 4 years in data engineering or software development. The ideal candidate will be well-versed in building scalable data solutions using modern data ecosystems and cloud platforms. Key Responsibilities : Design, build, and optimize scalable ETL pipelines. Work extensively with Big Data technologies like Snowflake and Databricks . Write and optimize complex SQL queries for large datasets. Define and manage SLAs, performance benchmarks, and monitoring systems. Develop data solutions using the AWS Data Ecosystem , including S3 , Lambda , and more. Handle both relational (e.g., PostgreSQL) and NoSQL databases. Work with programming languages like Python , Java , and/or Scala . Use Linux command-line tools for system and data operations. Implement best practices in data lineage , data quality , data observability , and data discoverability . Preferred (Nice-to-Have) : Experience with data mesh architecture or building distributed data products. Prior exposure to data governance frameworks.

Duration: 8Months Job Type: Contract Work Type: Onsite The top 3 responsibilities of this role: Work closely with senior engineers to implement and deliver high quality technology solutions Own development in multiple layers of the stack including distributed workflows hosted in native AWS architecture Operational rigor for a rapidly growing tech stack Leadership Principles: Learn and Be Curious, Ownership, Deep Dive, Bias for Action Mandatory requirements: Java, Problem solving, DSA, Spring Framework Preferred skills: AWS tools like DynamoDB, CDK, Lambda, S3 Education or certification requirements: Minimum of Bachelors degree in Computer Science

Job Area: Information Technology Group, Information Technology Group > IT Software Developer General Summary: Qualcomm OneIT team is looking for a talented senior Full-Stack Developer to join our dynamic team and contribute to our exciting projects. The ideal candidate will have strong understanding of Java, Spring Boot, Angular/React and AWS technologies as well as experience in designing, managing and deploying applications to the cloud.Key Responsibilities: Design, develop and maintain web applications using Java, Spring Boot, and Angular/React. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Stay up-to-date with the latest industry trends and technologies. Minimum Qualifications: 3+ years of IT-relevant work experience with a Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems). OR 5+ years of IT-relevant work experience without a Bachelors degree. 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.) 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores. Candidate should have: Bachelor's degree in Computer Science, Engineering, or a related field. 5-7 years of experience with minimum 3 years as a Full-Stack developer using Java, Spring Boot and Angular/React. Strong proficiency in Java and Spring Boot. Experience with front-end frameworks such as Angular or React. Familiarity with RESTful APIs and web services. Knowledge of database systems like Oracle, MySQL, PostgreSQL, or MongoDB. Experience with AWS services such as EC2, S3, RDS, Lambda, and API Gateway. Understanding of version control systems, preferably Git. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience with any other programming language like C#, Python Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum/SAFe methodologies. Bachelors or Masters degree in information technology, computer science or equivalent. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We are seeking an experienced AWS Migration Engineer to lead the migration of on-premises infrastructure and applications to AWS Cloud. The ideal candidate will have hands-on expertise in AWS services, tools, and frameworks, as well as the ability to modernize applications and design target state architectures. This role requires deep technical knowledge, problem-solving skills, and proficiency in automation and scripting. Roles and Responsibilities Discovery and Assessment: Perform detailed analysis and assessment of existing infrastructure and applications using AWS tools such as AWS Migration Evaluator, AWS Application Discovery Service, AWS Migration Hub, AWS Application Migration Service, and AWS Database Migration Service (DMS). Provide insights and migration strategies based on the findings. AWS Services Implementation: Design and implement cloud solutions using AWS services, including EC2, VPC, RDS, EBS/EFS, S3, Lambda, CloudWatch, and Transit Gateway. Ensure optimal configuration for performance, reliability, and cost-effectiveness. Networking Setup: Configure secure and reliable network connectivity between AWS and on-premises environments using AWS Direct Connect and Site-to-Site VPN. Troubleshoot networking issues and ensure seamless integration. Automation and Infrastructure-as-Code: Leverage tools like Terraform and Ansible to automate deployments and configurations. Utilize scripting languages such as Bash, PowerShell, and Python to streamline migration workflows and optimize processes. Application Modernisation: Transform legacy applications from monolithic architecture to microservices-based architecture using cloud-native technologies and approaches. Enhance scalability and maintainability. Cloud Architecture Design: Develop and implement the target state architecture for applications and infrastructure on AWS. Ensure that solutions are scalable, secure, and aligned with best practices for cloud environments. Qualifications Proven experience in migrating on-premises infrastructure and applications to AWS Cloud. Strong expertise with AWS tools and services for migration and cloud architecture. Hands-on experience with Terraform, Ansible, Bash/PowerShell scripting, and Python. Knowledge of networking concepts, including AWS Direct Connect and Site-to-Site VPN. Ability to modernize applications and transitioning from monolithic to microservices architecture Proficiency in designing scalable and secure target state architectures on AWS. Strong analytical and problem-solving skills. Ability to drive customer engagement BE/BTech in Computer Science or any equivalent degree. AWS Certifications (e.g., AWS Solutions Architect Associate, AWS SysOps Administrator, AWS DevOps Engineer Professional). Experience working with 3Tier Applications, Serverless Applications and Containers. Experience with DevOps practices and CI/CD pipelines. Experience working in Agile environments.

Design, develop, and manage our data infrastructure on AWS, with a focus on data warehousing solutions. Write efficient, complex SQL queries for data extraction, transformation, and loading. Utilize DBT for data modelling and transformation. Use Python for data engineering tasks, demonstrating strong work experience in this area. Implement scheduling tools like Airflow, Control M, or shell scripting to automate data processes and workflows. Participate in an Agile environment, adapting quickly to changing priorities and requirements Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proven expertise in AWS technologies, with a strong understanding of AWS services. Experience in Redshift is optional Experience in data warehousing with a solid grasp of SQL, including ability to write complex queries. Proficiency in Python, demonstrating good work experience in data engineering tasks. Familiarity with scheduling tools like Airflow, Control M, or shell scripting. Excellent communication skills, willing attitude towards learning Preferred technical and professional experience Knowledge of DBT for data modelling and transformation is a plus. Experience with PySpark or Spark is highly desirable. Familiarity with DevOps, CI/CD, and Airflow is beneficial.Experience in Agile environments is a nice-to-have

About The Role What we offer Our mission is simple Building trust. Our customer's trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That"™s why, we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. About our team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotak"™s Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, sparksql, scala) for ETL development, Advanced SQL and Data modelling for Analytics. The org size is expected to be around 100+ member team primarily based out of Bangalore comprising of ~10 sub teams independently driving their charter. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be a early member in digital transformation journey of Kotak, learn and leverage technology to build complex data data platform solutions including, real time, micro batch, batch and analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotak"™s data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and built data models in a config based and programmatic and think big to build one of the most leveraged data model for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data build by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics usecases. Data Governance The team will be central data governance team for Kotak bank managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If you"™ve right data skills and are ready for building data lake solutions from scratch for high concurrency systems involving multiple systems then this is the team for you. You day to day role will include Drive business decisions with technical input and lead the team. Design, implement, and support an data infrastructure from scratch. Manage AWS resources, including EC2, EMR, S3, Glue, Redshift, and MWAA. Extract, transform, and load data from various sources using SQL and AWS big data technologies. Explore and learn the latest AWS technologies to enhance capabilities and efficiency. Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis. Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Build data platforms, data pipelines, or data management and governance tools. BASIC QUALIFICATIONS for Data Engineer/ SDE in Data Bachelor's degree in Computer Science, Engineering, or a related field 3-5 years of experience in data engineering Strong understanding of AWS technologies, including S3, Redshift, Glue, and EMR Experience with data pipeline tools such as Airflow and Spark Experience with data modeling and data quality best practices Excellent problem-solving and analytical skills Strong communication and teamwork skills Experience in at least one modern scripting or programming language, such as Python, Java, or Scala Strong advanced SQL skills BASIC QUALIFICATIONS for Data Engineering Manager / Software Development Manager 10+ years of engineering experience most of which is in Data domain 5+ years of engineering team management experience 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams 5+ years of experience in managing data engineer, business intelligence engineers and/or data scientists Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience managing multiple concurrent programs, projects and development teams in an Agile environment Strong understanding of Data Platform, Data Engineering and Data Governance Experience partnering with product and program management teams - Experience designing and developing large scale, high-traffic applications PREFERRED QUALIFICATIONS AWS cloud technologiesRedshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM, Airflow Prior experience in Indian Banking segment and/or Fintech is desired. Experience with Non-relational databases and data stores Building and operating highly available, distributed data processing systems for large datasets Professional software engineering and best practices for the full software development life cycle Designing, developing, and implementing different types of data warehousing layers Leading the design, implementation, and successful delivery of large-scale, critical, or complex data solutions Building scalable data infrastructure and understanding distributed systems concepts SQL, ETL, and data modelling Ensuring the accuracy and availability of data to customers Proficient in at least one scripting or programming language for handling large volume data processing Strong presentation and communications skills.

About The Role Data Engineer -2 (Experience 2-5 years) What we offer Our mission is simple Building trust. Our customer's trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That"™s why, we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. About our team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotak"™s Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, sparksql, scala) for ETL development, Advanced SQL and Data modelling for Analytics. The org size is expected to be around 100+ member team primarily based out of Bangalore comprising of ~10 sub teams independently driving their charter. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be a early member in digital transformation journey of Kotak, learn and leverage technology to build complex data data platform solutions including, real time, micro batch, batch and analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals: Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotak"™s data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and built data models in a config based and programmatic and think big to build one of the most leveraged data model for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data build by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics usecases. Data Governance The team will be central data governance team for Kotak bank managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If you"™ve right data skills and are ready for building data lake solutions from scratch for high concurrency systems involving multiple systems then this is the team for you. You day to day role will include Drive business decisions with technical input and lead the team. Design, implement, and support an data infrastructure from scratch. Manage AWS resources, including EC2, EMR, S3, Glue, Redshift, and MWAA. Extract, transform, and load data from various sources using SQL and AWS big data technologies. Explore and learn the latest AWS technologies to enhance capabilities and efficiency. Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis. Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Build data platforms, data pipelines, or data management and governance tools. BASIC QUALIFICATIONS for Data Engineer/ SDE in Data Bachelor's degree in Computer Science, Engineering, or a related field Experience in data engineering Strong understanding of AWS technologies, including S3, Redshift, Glue, and EMR Experience with data pipeline tools such as Airflow and Spark Experience with data modeling and data quality best practices Excellent problem-solving and analytical skills Strong communication and teamwork skills Experience in at least one modern scripting or programming language, such as Python, Java, or Scala Strong advanced SQL skills PREFERRED QUALIFICATIONS AWS cloud technologiesRedshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM, Airflow Prior experience in Indian Banking segment and/or Fintech is desired. Experience with Non-relational databases and data stores Building and operating highly available, distributed data processing systems for large datasets Professional software engineering and best practices for the full software development life cycle Designing, developing, and implementing different types of data warehousing layers Leading the design, implementation, and successful delivery of large-scale, critical, or complex data solutions Building scalable data infrastructure and understanding distributed systems concepts SQL, ETL, and data modelling Ensuring the accuracy and availability of data to customers Proficient in at least one scripting or programming language for handling large volume data processing Strong presentation and communications skills.

Design, develop, and manage our data infrastructure on AWS, with a focus on data warehousing solutions. Write efficient, complex SQL queries for data extraction, transformation, and loading. Utilize DBT for data modelling and transformation. Use Python for data engineering tasks, demonstrating strong work experience in this area. Implement scheduling tools like Airflow, Control M, or shell scripting to automate data processes and workflows.Participate in an Agile environment, adapting quickly to changing priorities and requirements. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proven expertise in AWS technologies, with a strong understanding of AWS services. Experience in Redshift is optional Experience in data warehousing with a solid grasp of SQL, including ability to write complex queries. Proficiency in Python, demonstrating good work experience in data engineering tasks. Familiarity with scheduling tools like Airflow, Control M, or shell scripting. Excellent communication skills, willing attitude towards learning Preferred technical and professional experience Knowledge of DBT for data modelling and transformation is a plus. Experience with PySpark or Spark is highly desirable. Familiarity with DevOps, CI/CD, and Airflow is beneficial.Experience in Agile environments is a nice-to-have