140 Kinesis Jobs - Page 3

Key Responsibilities • Application Development: Design, develop, and maintain dealership applications using Java, Spring Boot, and Microservices architecture. • Cloud Deployment: Build and manage cloud-native applications on AWS, leveraging services such as Lambda, ECS, RDS, S3, DynamoDB, and API Gateway. • System Architecture: Develop and maintain scalable, high-availability architectures to support large-scale dealership operations. • Database Management: Work with relational and NoSQL databases like PostgreSQL, and DynamoDB for efficient data storage and retrieval. • Integration & APIs: Develop and manage RESTful APIs and integrate with third-party services, including OEMs and dealership management systems (DMS). • DevOps & CI/CD: Implement CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline for automated testing and deployments. • Security & Compliance: Ensure application security, data privacy, and compliance with industry regulations. • Collaboration & Mentorship: Work closely with product managers, designers, and other engineers. Mentor junior developers to maintain best coding practices. Technical Skills Required • Programming Languages: Java (8+), Spring Boot, Hibernate • Cloud Platforms: AWS (Lambda, S3, EC2, ECS, RDS, DynamoDB, CloudFormation) • Microservices & API Development: RESTful APIs, API Gateway • Database Management: PostgreSQL, DynamoDB • DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines • Testing & Monitoring: JUnit, Mockito, Prometheus, CloudWatch • Version Control & Collaboration: Git, GitHub, Jira, Confluence Nice-to-Have Skills • Experience with serverless architectures (AWS Lambda, Step Functions) • Exposure to event-driven architectures (Kafka, SNS, SQS) Qualifications • Bachelor's or masters degree in computer science, Software Engineering, or a related field • 5+ years of hands-on experience in Java-based backend development • Strong problem-solving skills with a focus on scalability and performance.

Job Title : Data Engineer (DE) / SDE – Data Location Bangalore Experience range 3-15 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 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. For Managers, Customer centricity, obsession for customer Ability to manage stakeholders (product owners, business stakeholders, cross function teams) to coach agile ways of working. Ability to structure, organize teams, and streamline communication. Prior work experience to execute large scale Data Engineering projects

Data Engineer -1 (Experience – 0-2 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.

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.

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.

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.

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.

Key Responsibilities • Application Development: Design, develop, and maintain dealership applications using Java, Spring Boot, and Microservices architecture. • Cloud Deployment: Build and manage cloud-native applications on AWS, leveraging services such as Lambda, ECS, RDS, S3, DynamoDB, and API Gateway. • System Architecture: Develop and maintain scalable, high-availability architectures to support large-scale dealership operations. • Database Management: Work with relational and NoSQL databases like PostgreSQL, and DynamoDB for efficient data storage and retrieval. • Integration & APIs: Develop and manage RESTful APIs and integrate with third-party services, including OEMs and dealership management systems (DMS). • DevOps & CI/CD: Implement CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline for automated testing and deployments. • Security & Compliance: Ensure application security, data privacy, and compliance with industry regulations. • Collaboration & Mentorship: Work closely with product managers, designers, and other engineers. Mentor junior developers to maintain best coding practices. Technical Skills Required • Programming Languages: Java (8+), Spring Boot, Hibernate • Cloud Platforms: AWS (Lambda, S3, EC2, ECS, RDS, DynamoDB, CloudFormation) • Microservices & API Development: RESTful APIs, API Gateway • Database Management: PostgreSQL, DynamoDB • DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines • Testing & Monitoring: JUnit, Mockito, Prometheus, CloudWatch • Version Control & Collaboration: Git, GitHub, Jira, Confluence Nice-to-Have Skills • Experience with serverless architectures (AWS Lambda, Step Functions) • Exposure to event-driven architectures (Kafka, SNS, SQS) Qualifications • Bachelor's or masters degree in computer science, Software Engineering, or a related field • 5+ years of hands-on experience in Java-based backend development • Strong problem-solving skills with a focus on scalability and performance.

Develop and maintain Kafka-based data pipelines for real-time processing. Implement Kafka producer and consumer applications for efficient data flow. Optimize Kafka clusters for performance, scalability, and reliability. Design and manage Grafana dashboards for monitoring Kafka metrics. Integrate Grafana with Elasticsearch, or other data sources. Set up alerting mechanisms in Grafana for Kafka system health monitoring. Collaborate with DevOps, data engineers, and software teams. Ensure security and compliance in Kafka and Grafana implementations. Requirements: 8+ years of experience in configuring Kafka, ElasticSearch and Grafana Strong understanding of Apache Kafka architecture and Grafana visualization. Proficiency in .Net, or Python for Kafka development. Experience with distributed systems and message-oriented middleware. Knowledge of time-series databases and monitoring tools. Familiarity with data serialization formats like JSON. Expertise in Azure platforms and Kafka monitoring tools. Good problem-solving and communication skills. Mandate : Create the Kafka dashboards , Python/.NET Note: Candidate must be immediate joiner.

???? We’re Hiring: Delivery Solution Architect – Data Analytics (AWS) ????. ???? Location: Remote. ???? Level: Mid to Senior (3–5+ years experience). Are you passionate about turning complex data challenges into elegant, scalable solutions on the AWS cloud? We're looking for a Delivery Solution Architect – Data Analytics to join our growing team and take the lead in architecting and delivering next-gen data platforms that drive real business impact.. ???? About the Role:. As a Delivery Solution Architect, you will play a pivotal role in designing and implementing end-to-end data analytics solutions on AWS. You’ll collaborate with cross-functional teams and lead a group of 5–10 consultants and engineers to bring modern data architectures to life—powering business intelligence, machine learning, and operational insights.. ????? Key Responsibilities:. Lead the design and delivery of data analytics solutions using AWS services (Redshift, EMR, Glue, Kinesis, etc.). Collaborate with project teams, clients, and sales stakeholders to craft technical proposals and solution blueprints. Design scalable, secure, high-performance data models and ETL pipelines. Optimize data platforms for cost-efficiency, query performance, and concurrency. Ensure data governance, security, and compliance with best practices. Troubleshoot technical issues and provide mentorship to engineering teams. Stay ahead of industry trends and bring innovative solutions to the table. Report to practice leads, contribute to documentation, and support deployment activities. ???? Qualifications:. 3–5 years of experience as a Solution Architect or Technical Lead in data analytics delivery. Hands-on expertise with AWS data tools (Redshift, EMR, Glue, Kinesis, etc.). Proficiency in SQL and Python; strong data modeling and ETL experience. Knowledge of Microsoft Azure Data Analytics tools is a plus. Experience working in Agile teams and using version control (e.g., Git). Strong communication skills and ability to collaborate with technical and non-technical stakeholders. AWS Certifications (Solutions Architect & Data Analytics – Specialty) are required. ???? Preferred Skills:. Team leadership in project delivery environments. Familiarity with data governance, data quality, and metadata management. Documentation, proposal writing, and client engagement skills. ???? What’s In It For You?. Opportunity to work with advanced AWS data technologies. Be part of a collaborative, innovation-focused team. Shape data strategies that directly impact enterprise decision-making. Career growth in a cloud-first, analytics-driven environment. ???? Ready to architect the future of data? Apply now or reach out to learn more!. #AWSJobs #DataAnalytics #SolutionArchitect #Hiring #AWSCareers #CloudComputing #DataEngineering #Redshift #Glue #AzureData #TechJobs. Show more Show less

Job Summary. As a DevOps Engineer specializing in data, you will be responsible for implementing and managing our cloud-based data infrastructure using AWS and Snowflake. You will collaborate with data engineers, data scientists, and other stakeholders to design, deploy, and maintain a robust data ecosystem that supports our analytics and business intelligence initiatives. Your expertise in modern data tech stacks, MLOps methodologies, automation, and information security will be crucial in enhancing our data pipelines and ensuring data integrity and availability.. Technical Skills. 3+ years of experience in the field of Data Warehousing and BI. Experience working with Snowflake Database. In depth knowledge of Data Warehouse concepts.. Experience in designing, developing, testing, and implementing ETL solutions using enterprise ETL tools .. Experience with large or partitioned relational databases (Aurora / MySQL / DB2). Very strong SQL and data analysis capabilities. Familiarly with Billing and Payment data is a plus. Agile development (Scrum) experience. Other preferred experience includes working with DevOps practices, SaaS, IaaS, code management (CodeCommit, git), deployment tools (CodeBuild, CodeDeploy, Jenkins, Shell scripting), and Continuous Delivery. Primary AWS development skills include S3, IAM, Lambda, RDS, Kinesis, APIGateway, Redshift, EMR, Glue, and CloudFormation. Responsibilities. Be a key contributor to the design and development of a scalable and cost-effective cloud-based data platform based on a data lake design. Develop data platform components in a cloud environment to ingest data and events from cloud and on-premises environments as well as third parties. Build automated pipelines and data services to validate, catalog, aggregate and transform ingested data. Build automated data delivery pipelines and services to integrate data from the data lake to internal and external consuming applications and services. Build and deliver cloud-based deployment and monitoring capabilities consistent with DevOps models. Deep knowledge and skills current with the latest cloud services, features and best practices. Who We Are:. unifyCX is an emerging Global Business Process Outsourcing company with a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. We provide personalized contact centers, business processing, and technology outsourcing solutions to clients worldwide. In nearly two decades, unifyCX has grown from a small team to a global organization with staff members all over the world dedicated to supporting our international clientele.. At unifyCX, we leverage advanced AI technologies to elevate the customer experience (CX) and drive operational efficiency for our clients. Our commitment to innovation positions us as a trusted partner, enabling businesses across industries to meet the evolving demands of a global market with agility and precision.. unifyCX is a certified minority-owned business and an EOE employer who welcomes diversity.. Show more Show less

Job Summary. As a DevOps Engineer specializing in data, you will be responsible for implementing and managing our cloud-based data infrastructure using AWS and Snowflake. You will collaborate with data engineers, data scientists, and other stakeholders to design, deploy, and maintain a robust data ecosystem that supports our analytics and business intelligence initiatives. Your expertise in modern data tech stacks, MLOps methodologies, automation, and information security will be crucial in enhancing our data pipelines and ensuring data integrity and availability.. Technical Skills. 3+ years of experience in the field of Data Warehousing and BI. Experience working with Snowflake Database. In depth knowledge of Data Warehouse concepts.. Experience in designing, developing, testing, and implementing ETL solutions using enterprise ETL tools .. Experience with large or partitioned relational databases (Aurora / MySQL / DB2). Very strong SQL and data analysis capabilities. Familiarly with Billing and Payment data is a plus. Agile development (Scrum) experience. Other preferred experience includes working with DevOps practices, SaaS, IaaS, code management (CodeCommit, git), deployment tools (CodeBuild, CodeDeploy, Jenkins, Shell scripting), and Continuous Delivery. Primary AWS development skills include S3, IAM, Lambda, RDS, Kinesis, APIGateway, Redshift, EMR, Glue, and CloudFormation. Responsibilities. Be a key contributor to the design and development of a scalable and cost-effective cloud-based data platform based on a data lake design. Develop data platform components in a cloud environment to ingest data and events from cloud and on-premises environments as well as third parties. Build automated pipelines and data services to validate, catalog, aggregate and transform ingested data. Build automated data delivery pipelines and services to integrate data from the data lake to internal and external consuming applications and services. Build and deliver cloud-based deployment and monitoring capabilities consistent with DevOps models. Deep knowledge and skills current with the latest cloud services, features and best practices. Who We Are:. unifyCX is an emerging Global Business Process Outsourcing company with a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. We provide personalized contact centers, business processing, and technology outsourcing solutions to clients worldwide. In nearly two decades, unifyCX has grown from a small team to a global organization with staff members all over the world dedicated to supporting our international clientele.. At unifyCX, we leverage advanced AI technologies to elevate the customer experience (CX) and drive operational efficiency for our clients. Our commitment to innovation positions us as a trusted partner, enabling businesses across industries to meet the evolving demands of a global market with agility and precision.. unifyCX is a certified minority-owned business and an EOE employer who welcomes diversity.. Show more Show less

Please share profiles Key Responsibilities • Application Development: Design, develop, and maintain dealership applications using Java, Spring Boot, and Microservices architecture. • Cloud Deployment: Build and manage cloud-native applications on AWS, leveraging services such as Lambda, ECS, RDS, S3, DynamoDB, and API Gateway. • System Architecture: Develop and maintain scalable, high-availability architectures to support large-scale dealership operations. • Database Management: Work with relational and NoSQL databases like PostgreSQL, and DynamoDB for efficient data storage and retrieval. • Integration & APIs: Develop and manage RESTful APIs and integrate with third-party services, including OEMs and dealership management systems (DMS). • DevOps & CI/CD: Implement CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline for automated testing and deployments. • Security & Compliance: Ensure application security, data privacy, and compliance with industry regulations. • Collaboration & Mentorship: Work closely with product managers, designers, and other engineers. Mentor junior developers to maintain best coding practices. Technical Skills Required • Programming Languages: Java (8+), Spring Boot, Hibernate • Cloud Platforms: AWS (Lambda, S3, EC2, ECS, RDS, DynamoDB, CloudFormation) • Microservices & API Development: RESTful APIs, API Gateway • Database Management: PostgreSQL, DynamoDB • DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines • Testing & Monitoring: JUnit, Mockito, Prometheus, CloudWatch • Version Control & Collaboration: Git, GitHub, Jira, Confluence Nice-to-Have Skills • Experience with serverless architectures (AWS Lambda, Step Functions) • Exposure to event-driven architectures (Kafka, SNS, SQS) Qualifications • Bachelor's or masters degree in computer science, Software Engineering, or a related field • 5+ years of hands-on experience in Java-based backend development • Strong problem-solving skills with a focus on scalability and performance.

Join us as a Data Engineer II in Bengaluru! Build scalable data pipelines using Python, SQL, AWS, Airflow, and Kafka. Drive real-time & batch data systems across analytics, ML, and product teams. A hybrid work option is available. Required Candidate profile 3+ yrs in data engineering with strong Python, SQL, AWS, Airflow, Spark, Kafka, Debezium, Redshift, ETL & CDC experience. Must know data lakes, warehousing, and orchestration tools.

7+ years in software engineering, with 4+ years using AWS. Programming languages: C# and Python, along with SQL and Spark. The engineering position requires a minimum three-hour overlap with team members in the US-Pacific time zone. Strong experience with some (or all) of the following: Lambda and Step functions, API Gateway, Fargate, ECS, S3, SQS, Kinesis, Firehose, DynamoDB, RDS, Athena, and Glue. Solid foundation in data structures and algorithms and in-depth knowledge and passion for coding standards and following proven design patterns. RESTful and GraphQL APIs are examples. You might also have... DevOps experience is a plus, GitHub, GitHub Actions, Docker. Experience building CI/CD and server/deployment automation solutions, and container orchestration technologies.

About The Role Data Engineer -1 (Experience 0-2 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.

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.

We are seeking an experienced Sr. Java Developer with expertise in Java Spring and Spring Boot frameworks, Rest API, and Cloud. The ideal candidate will have 6+ years of hands-on experience in developing scalable and robust applications. Experience with any cloud services (AWS/Azure/GCP). Job Title: Sr. Java Developer Location: Ahmedabad/Pune Experience: 5 + Years Educational Qualification: UG: BS/MS in Computer Science, or other engineering/technical degree Key Responsibilities: Responsible for the complete software development life cycle, including requirement analysis, design, development, deployment, and support. Responsible for developing software products for Agentic AI Security. Write clean, testable, readable, scalable and maintainable Java code. Design, develop and implement highly scalable software features and infrastructure on our security platform ready for cloud native deployment from inception to completion. Participate actively and contribute to design and development discussions. Develop solid understanding and be able to explain advanced cloud computing and cloud security concepts to others. Work cross-functionally with Product Management, SRE, Software, and Quality Engineering teams to deliver new security-as-a-service offerings to the market in a timely fashion with excellent quality. Be able to clearly communicate goals and desired outcomes to internal project teams. Work closely with customer support teams to improve end-customer outcomes. Required Skill: Strong programming skills in Java, with experience in building distributed systems. 6+ years of experience in software engineering, with a focus on cloud-native application development, at large organizations or innovative startups. 3+ Experience and deep understanding for building connectors for Low Code/noCode and Agentic AI platforms like Microsoft Copilot Studio, Microsoft Power Platform, Salesforce Agentforce, Zappier, Crew AI, Marketo etc. 5+ Experience building connectors for SaaS Applications like Microsoft O365, Power Apps, Salesforce, ServiceNow etc. Preferred experience with security products-data and DLP, CASB security, SASE, and integration with third party APIs and services. 5+ years of experience with running workloads on cloud-based architectures. (AWS/GCP experience preferred) 5+ years of experience in cloud technologies like ElasticSearch, Redis, Kafka, Mongo DB, Spring Boot . Experience with Docker and Kubernetes or other container orchestration platforms. Excellent troubleshooting abilities. Isolate issues found during testing and verify bug fixes once they are resolved. Experience with backend development (REST APIs, databases, and serverless computing) of distributed cloud applications. Experience with building and delivering services and workflows at scale, leveraging microservices architectures. Experience with the agile process and working with software development teams involved with building out full-stack products deployed on the cloud at scale. Good understanding of public cloud design considerations and limitations in areas of microservice architectures, security, global network infrastructure, distributed systems, and load balancing. Strong understanding of principles of DevOps and continuous delivery. Can-do attitude and ability to make trade-off judgements with data-driven decision-making. High energy and the ability to work in a fast-paced environment. Enjoys working with many different teams with strong collaboration and communication skills.

Role & responsibilities • Application Development: Design, develop, and maintain dealership applications using Java, Spring Boot, and Microservices architecture. • Cloud Deployment: Build and manage cloud-native applications on AWS, leveraging services such as Lambda, ECS, RDS, S3, DynamoDB, and API Gateway. • System Architecture: Develop and maintain scalable, high-availability architectures to support large-scale dealership operations. • Database Management: Work with relational and NoSQL databases like PostgreSQL, and DynamoDB for efficient data storage and retrieval. • Integration & APIs: Develop and manage RESTful APIs and integrate with third-party services, including OEMs and dealership management systems (DMS). • DevOps & CI/CD: Implement CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline for automated testing and deployments. • Security & Compliance: Ensure application security, data privacy, and compliance with industry regulations. • Collaboration & Mentorship: Work closely with product managers, designers, and other engineers. Mentor junior developers to maintain best coding practices. Technical Skills Required • Programming Languages: Java (8+), Spring Boot, Hibernate • Cloud Platforms: AWS (Lambda, S3, EC2, ECS, RDS, DynamoDB, CloudFormation) • Microservices & API Development: RESTful APIs, API Gateway • Database Management: PostgreSQL, DynamoDB • DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines • Testing & Monitoring: JUnit, Mockito, Prometheus, CloudWatch • Version Control & Collaboration: Git, GitHub, Jira, Confluence Nice-to-Have Skills • Experience with serverless architectures (AWS Lambda, Step Functions) • Exposure to event-driven architectures (Kafka, SNS, SQS) Qualifications • Bachelor's or masters degree in computer science, Software Engineering, or a related field • 5+ years of hands-on experience in Java-based backend development • Strong problem-solving skills with a focus on scalability and performance.

Position summary: We are seeking a Senior Software Development Engineer – Data Engineering with 3-5 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. Key Responsibilities: Work with cloud-based data solutions (Azure, AWS, GCP). Implement data modeling and warehousing solutions. Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Designing and optimizing data storage solutions, including data warehouses and data lakes. Ensuring data quality and integrity through data validation, cleansing, and error handling. Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence). Implementing data security measures and access controls to protect sensitive information. Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing. Develop and maintain Power BI dashboards and reports. Work with DAX and Power Query to manipulate and transform data. Basic Qualifications Bachelor’s or master’s degree in computer science or data science 3-5 years of experience in data engineering, big data processing, and cloud-based data platforms. Proficient in SQL, Python, or Scala for data manipulation and processing. Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric. Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions. Preferred Qualifications Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub). Experience in BI and analytics tools (Tableau, Power BI, Looker). Familiarity with data observability tools (Monte Carlo, Great Expectations). Contributions to open-source data engineering projects.

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 9+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Builds Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail #LI-BD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Hiring for US based Multinational Company (MNC) We are seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business intelligence, analytics, and machine learning initiatives. You will work closely with data scientists, analysts, and software engineers to ensure that high-quality data is readily available and usable. Design and implement scalable, reliable, and efficient data pipelines for processing and transforming large volumes of structured and unstructured data. Build and maintain data architectures including databases, data warehouses, and data lakes. Collaborate with data analysts and scientists to support their data needs and ensure data integrity and consistency. Optimize data systems for performance, cost, and scalability. Implement data quality checks, validation, and monitoring processes. Develop ETL/ELT workflows using modern tools and platforms. Ensure data security and compliance with relevant data protection regulations. Monitor and troubleshoot production data systems and pipelines. Proven experience as a Data Engineer or in a similar role Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java Experience with data pipeline tools such as Apache Airflow, Luigi, or similar Familiarity with modern data platforms and tools: Big Data: Hadoop, Spark Data Warehousing: Snowflake, Redshift, BigQuery, Azure Synapse Databases: PostgreSQL, MySQL, MongoDB Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of data modeling, schema design, and ETL best practices Strong analytical and problem-solving skills

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As an AWS Data Engineer at Kyndryl, you will be responsible for designing, building, and maintaining scalable, secure, and high-performing data pipelines using AWS cloud-native services. This role requires extensive hands-on experience with both real-time and batch data processing, expertise in cloud-based ETL/ELT architectures, and a commitment to delivering clean, reliable, and well-modeled datasets. Key Responsibilities: Design and develop scalable, secure, and fault-tolerant data pipelines utilizing AWS services such as Glue, Lambda, Kinesis, S3, EMR, Step Functions, and Athena. Create and maintain ETL/ELT workflows to support both structured and unstructured data ingestion from various sources, including RDBMS, APIs, SFTP, and Streaming. Optimize data pipelines for performance, scalability, and cost-efficiency. Develop and manage data models, data lakes, and data warehouses on AWS platforms (e.g., Redshift, Lake Formation). Collaborate with DevOps teams to implement CI/CD and infrastructure as code (IaC) for data pipelines using CloudFormation or Terraform. Ensure data quality, validation, lineage, and governance through tools such as AWS Glue Data Catalog and AWS Lake Formation. Work in concert with data scientists, analysts, and application teams to deliver data-driven solutions. Monitor, troubleshoot, and resolve issues in production pipelines. Stay abreast of AWS advancements and recommend improvements where applicable. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience Bachelor’s or master’s degree in computer science, Engineering, or a related field Over 8 years of experience in data engineering More than 3 years of experience with the AWS data ecosystem Strong experience with Pyspark, SQL, and Python Proficiency in AWS services: Glue, S3, Redshift, EMR, Lambda, Kinesis, CloudWatch, Athena, Step Functions Familiarity with data modelling concepts, dimensional models, and data lake architectures Experience with CI/CD, GitHub Actions, CloudFormation/Terraform Understanding of data governance, privacy, and security best practices Strong problem-solving and communication skills Preferred Skills and Experience Experience working as a Data Engineer and/or in cloud modernization. Experience with AWS Lake Formation and Data Catalog for metadata management. Knowledge of Databricks, Snowflake, or BigQuery for data analytics. AWS Certified Data Engineer or AWS Certified Solutions Architect is a plus. Strong problem-solving and analytical thinking. Excellent communication and collaboration abilities. Ability to work independently and in agile teams. A proactive approach to identifying and addressing challenges in data workflows. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Job Summary We are seeking an experienced Amazon Connect Architect with 12 to 15 years of experience to design, develop and implement scalable and reliable cloud-based contact center solutions using Amazon Connect and AWS ecosystem services You will play a key role in translating business needs into technical solutions and lead implementation across clients or business units Key Responsibilities Architect and design contact center solutions using Amazon Connect and AWS services like Lambda Lex DynamoDB S3 and CloudWatch Lead the endtoend implementation and configuration of Amazon Connect Integrate Amazon Connect with CRMs, Salesforce, ServiceNow etc, ticketing systems, and third-party tools Define call flows IVR designs, routing profiles and queue configurations Implement Contact Lens realtime metrics and historical reporting Collaborate with cross-functional teams, developers, business analysts project managers Create technical documentation diagrams and handoff materials Stay updated on AWS best practices and new Amazon Connect features Provide technical leadership and mentorship to development support teams Required Skills Proven experience designing and deploying Amazon Connect solutions Strong hands-on knowledge of AWS Lambda, IAM, S3, DynamoDB, Kinesis, and CloudFormation Experience with Amazon Lex and AIML for voice bots Proficiency in programming scripting JavaScript, Node.js Familiarity with CRM integrations especially Salesforce Service Cloud Voice Understanding of telephony concepts SIP DID ACD IVR CTI Experience with CICD pipelines and version control Git Strong documentation and communication skills Preferred Skills AWS Certified Solutions Architect or Amazon Connect accreditation

Experience - 4+ years Programming Side: Strong programming skill on Python Strong skill on SQL and any one of the Database/Data warehouses Knowledge on Spark coding and Architecture Sound knowledge on ETL flow, Good Knowledge on Databricks. Experience on any cloud(AWS/Azure/GCP) Knowledge on any one of the scheduling tools (good to have) Knowledge on any 1 of the real time data processing (Kafka/Kinesis/Spark Steams) (Good to have)