45 Avro Jobs

As a Software Developer at Oracle Health, you will be responsible for designing, developing, and deploying distributed, scalable, multi-tenant Cloud Services on Oracle Cloud Infrastructure (OCI). Your primary focus will be on integrating with FHIR-based healthcare systems and leveraging large language models (LLMs) for advanced data processing and decision support. Oracle Integration Cloud provides a no-code platform for designing and running integrations across various applications and information systems. As part of the Oracle Integration Cloud (OIC) team, you will work on cloud-managed services running on OCI, particularly focusing on the Connectivity component. This component enables seamless integration with healthcare data systems following the FHIR standard, as well as with other SaaS and enterprise applications across different protocols and networks. In this role, you will collaborate closely with the healthcare systems of Oracle Health to ensure smooth integration of clinical data with enterprise applications. Your responsibilities will include designing and developing cloud-native enterprise software products and services for healthcare applications using FHIR and LLM-based models for natural language processing. You will build FHIR-compliant integrations with Oracle Health's healthcare data systems, optimize for data integration with FHIR-based services, and focus on API-first design using OpenAPI and Swagger. As a part of the OIC Connectivity development team, you will be involved in system design, architecture, implementation, and support for cloud-native integrations. You will code in Java, leverage RESTful APIs, microservices, Docker, and Kubernetes, and work with prominent healthcare APIs and systems to facilitate healthcare data exchange. Additionally, you will implement message interchange formats and collaborate with JavaScript frameworks to create dynamic user interfaces for healthcare applications. To excel in this role, you are required to have a B.E./B.Tech/M.S./M.Tech in Computer Science, along with 3+ years of experience in cloud service development. Experience with LLMs, NLP, and integrating AI models into enterprise applications will be beneficial. Knowledge of healthcare standards like FHIR and the ability to innovate in a fast-paced environment are also crucial for success in this position. Join us at Oracle Health to contribute to healthcare innovation by integrating critical clinical data using FHIR and leveraging LLM-based AI solutions on Oracle Cloud Infrastructure.,

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

As a Data Platform developer at Barclays, you will play a crucial role in shaping the digital landscape and enhancing customer experiences. Leveraging cutting-edge technology, you will work alongside a team of engineers, business analysts, and stakeholders to deliver high-quality solutions that meet business requirements. Your responsibilities will include tackling complex technical challenges, building efficient data pipelines, and staying updated on the latest technologies to continuously enhance your skills. To excel in this role, you should have hands-on coding experience in Python, along with a strong understanding and practical experience in AWS development. Experience with tools such as Lambda, Glue, Step Functions, IAM roles, and various AWS services will be essential. Additionally, your expertise in building data pipelines using Apache Spark and AWS services will be highly valued. Strong analytical skills, troubleshooting abilities, and a proactive approach to learning new technologies are key attributes for success in this role. Furthermore, experience in designing and developing enterprise-level software solutions, knowledge of different file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, Kinesis, and Glue Streaming will be advantageous. Effective communication and collaboration skills are essential to interact with cross-functional teams and document best practices. Your role will involve developing and delivering high-quality software solutions, collaborating with various stakeholders to define requirements, promoting a culture of code quality, and staying updated on industry trends. Adherence to secure coding practices, implementation of effective unit testing, and continuous improvement are integral parts of your responsibilities. As a Data Platform developer, you will be expected to lead and supervise a team, guide professional development, and ensure the delivery of work to a consistently high standard. Your impact will extend to related teams within the organization, and you will be responsible for managing risks, strengthening controls, and contributing to the achievement of organizational objectives. Ultimately, you will be part of a team that upholds Barclays" values of Respect, Integrity, Service, Excellence, and Stewardship, while embodying the Barclays Mindset of Empower, Challenge, and Drive in your daily interactions and work ethic.,

You are a Java Developer with AI/ML experience, required to have at least 5+ years of industry experience in Java, Spring Boot, Spring Data, and a minimum of 2 years of AI/ML project or professional experience. You should possess a strong background in developing and consuming REST APIs and asynchronous messaging using technologies like Kafka or RabbitMQ. Your role involves integrating AI/ML models into Java services or making calls to external ML endpoints. You need to have a comprehensive understanding of the ML lifecycle encompassing training, validation, inference, monitoring, and retraining. Familiarity with tools such as TensorFlow, PyTorch, Scikit-Learn, or ONNX is essential. Previous experience in implementing domain-specific ML solutions like fraud detection, recommendation systems, or NLP chatbots is beneficial. Proficiency in working with various data formats including JSON, Parquet, Avro, and CSV is required. You should have a solid grasp of both SQL (PostgreSQL, MySQL) and NoSQL (Redis) database systems. Your responsibilities will include integrating machine learning models (both batch and real-time) into backend systems and APIs, optimizing and automating AI/ML workflows using MLOps best practices, and monitoring model performance, versioning, and rollbacks. Collaboration with cross-functional teams such as DevOps, SRE, and Product Engineering is necessary to ensure smooth deployment. Exposure to MLOps tools like MLflow, Kubeflow, or Seldon is desired. Experience with at least one cloud platform, preferably AWS, and knowledge of observability tools, metrics, events, logs, and traces (e.g., Prometheus, Grafana, Open Telemetry, Splunk, Data Dog, App Dynamics) are valuable skills in this role. Thank you. Aatmesh,

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Work location Pune JD as below 5+ Years Only 30 days : We are looking for a highly skilled Java Developer with expertise in Spring Boot, Confluent Kafka, and distributed systems . The ideal candidate should have strong experience in designing, developing, and optimizing event-driven applications using Confluent Kafka while leveraging Spring Boot/Spring Cloud for microservices-based architectures. Key Responsibilities: Develop, deploy, and maintain scalable and high-performance applications using Java (Core Java, Collections, Multithreading, Executor Services, CompletableFuture, etc.) Work extensively with Confluent Kafka , including producer-consumer frameworks, offset management, and optimization of consumer instances based on message volume. Ensure efficient message serialization and deserialization using JSON, Avro, and Protobuf with Kafka Schema Registry . Design and implement event-driven architectures with real-time processing capabilities. Optimize Kafka consumers for high-throughput and low-latency scenarios. Collaborate with cross-functional teams to ensure seamless integration and deployment of services. Troubleshoot and resolve performance bottlenecks and scalability issues in distributed environments. Familiarity with containerization (Docker, Kubernetes) and cloud platforms is a plus. Experience with monitoring and logging tool- Splunk is a plus.

You should have 5+ years of experience in core Java and the Spring Framework. Additionally, you must have at least 2 years of experience in Cloud technologies such as GCP, AWS, or Azure, with a preference for GCP. It is required to have experience in big data processing on a distributed system and in working with databases including RDBMS, NoSQL databases, and Cloud natives. You should also have expertise in handling various data formats like Flat file, JSON, Avro, XML, etc., including defining schemas and contracts. Furthermore, you should have experience in implementing data pipelines (ETL) using Dataflow (Apache Beam) and in working with Microservices and integration patterns of APIs with data processing. Experience in data structure, defining, and designing data models will be beneficial for this role.,

Tiger Analytics is a global AI and analytics consulting firm with a team of over 2800 professionals focused on using data and technology to solve complex problems that impact millions of lives worldwide. Our culture is centered around expertise, respect, and a team-first mindset. Headquartered in Silicon Valley, we have delivery centers globally and offices in various cities across India, the US, UK, Canada, and Singapore, along with a significant remote workforce. At Tiger Analytics, we are certified as a Great Place to Work. Joining our team means being at the forefront of the AI revolution, working with innovative teams that push boundaries and create inspiring solutions. We are currently looking for an Azure Big Data Engineer to join our team in Chennai, Hyderabad, or Bangalore. As a Big Data Engineer (Azure), you will be responsible for building and implementing various analytics solutions and platforms on Microsoft Azure using a range of Open Source, Big Data, and Cloud technologies. Your typical day might involve designing and building scalable data ingestion pipelines, processing structured and unstructured data, orchestrating pipelines, collaborating with teams and stakeholders, and making critical tech-related decisions. To be successful in this role, we expect you to have 4 to 9 years of total IT experience with at least 2 years in big data engineering and Microsoft Azure. You should be proficient in technologies such as Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview. Strong coding skills in SQL, Python, or Scala/Java are essential, as well as experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, and Elastic Search. Knowledge of file formats such as Delta Lake, Avro, Parquet, JSON, and CSV is also required. Ideally, you should have experience in building REST APIs, working on Data Lake or Lakehouse projects, supporting BI and Data Science teams, and following Agile and DevOps processes. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) would be a valuable addition to your profile. At Tiger Analytics, we value diversity and inclusivity, and we encourage individuals with different skills and qualities to apply, even if they do not meet all the criteria for the role. We are committed to providing equal opportunities and fostering a culture of listening, trust, respect, and growth. Please note that the job designation and compensation will be based on your expertise and experience, and our compensation packages are competitive within the industry. If you are passionate about leveraging data and technology to drive impactful solutions, we would love to stay connected with you.,

Summary: We are seeking a highly skilled and experienced Snowflake Database Administrator (DBA) to join our team. The ideal candidate will be responsible for the administration, management, and optimization of our Snowflake data platform. The role requires strong expertise in database design, performance tuning, security, and data governance within the Snowflake environment. Key Responsibilities: Administer and manage Snowflake cloud data warehouse environments, including provisioning, configuration, monitoring, and maintenance. Implement security policies, compliance, and access controls. Manage Snowflake accounts and databases in a multi-tenant environment. Monitor the systems and provide proactive solutions to ensure high availability and reliability. Monitor and manage Snowflake costs. Collaborate with developers, support engineers and business stakeholders to ensure efficient data integration. Automate database management tasks and procedures to improve operational efficiency. Stay up to date with the latest Snowflake features, best practices, and industry trends to enhance the overall data architecture. Develop and maintain documentation, including database configurations, processes, and standard operating procedures. Support disaster recovery and business continuity planning for Snowflake environments. Required Qualifications: Bachelors degree in computer science, Information Technology, or a related field. 5+ years of experience in Snowflake operations and administration. Strong knowledge of SQL, query optimization, and performance tuning techniques. Experience in managing security, access controls, and data governance in Snowflake. Familiarity with AWS. Proficiency in Python or Bash. Experience in automating database tasks using Terraform, CloudFormation, or similar tools. Understanding of data modeling concepts and experience working with structured and semi-structured data (JSON, Avro, Parquet). Strong analytical, problem-solving, and troubleshooting skills. Excellent communication and collaboration abilities. Preferred Qualifications: Snowflake certification (e.g., SnowPro Core, SnowPro Advanced: Architect, Administrator). Experience with CI/CD pipelines and DevOps practices for database management. Knowledge of machine learning and analytics workflows within Snowflake. Hands-on experience with data streaming technologies (Kafka, AWS Kinesis, etc.).

As a Data Platform Engineer Lead at Barclays, your role is crucial in building and maintaining systems that collect, store, process, and analyze data, including data pipelines, data warehouses, and data lakes. Your responsibility includes ensuring the accuracy, accessibility, and security of all data. To excel in this role, you should have hands-on coding experience in Java or Python and a strong understanding of AWS development, encompassing various services such as Lambda, Glue, Step Functions, IAM roles, and more. Proficiency in building efficient data pipelines using Apache Spark and AWS services is essential. You are expected to possess strong technical acumen, troubleshoot complex systems, and apply sound engineering principles to problem-solving. Continuous learning and staying updated with new technologies are key attributes for success in this role. Design experience in diverse projects where you have led the technical development is advantageous, especially in the Big Data/Data Warehouse domain within Financial services. Additional skills in enterprise-level software solutions development, knowledge of different file formats like JSON, Iceberg, Avro, and familiarity with streaming services such as Kafka, MSK, and Kinesis are highly valued. Effective communication, collaboration with cross-functional teams, documentation skills, and experience in mentoring team members are also important aspects of this role. Your accountabilities will include the construction and maintenance of data architectures pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to deploy machine learning models. You will also be expected to contribute to strategy, drive requirements for change, manage resources and policies, deliver continuous improvements, and demonstrate leadership behaviors if in a leadership role. Ultimately, as a Data Platform Engineer Lead at Barclays in Pune, you will play a pivotal role in ensuring data accuracy, accessibility, and security while leveraging your technical expertise and collaborative skills to drive innovation and excellence in data management.,

We are looking for a Pyspark Developer that loves solving complex problems across a full spectrum of technologies. You will help ensure our technological infrastructure operates seamlessly in support of our business objectives. Responsibilities Develop and maintain data pipelines implementing ETL processes. Take responsibility for Hadoop development and implementation. Work closely with a data science team implementing data analytic pipelines. Help define data governance policies and support data versioning processes. Maintain security and data privacy working closely with Data Protection Officer internally. Analyse a vast number of data stores and uncover insights. Skillset Required Ability to design, build and unit test the applications in Pyspark. Experience with Python development and Python data transformations. Experience with SQL scripting on one or more platforms Hive, Oracle, PostgreSQL, MySQL etc. In-depth knowledge of Hadoop, Spark, and similar frameworks. Strong knowledge of Data Management principles. Experience with normalizing/de-normalizing data structures, and developing tabular, dimensional and other data models. Have knowledge about YARN, cluster, executor, cluster configuration. Hands on working in different file formats like Json, parquet, csv etc. Experience with CLI on Linux-based platforms. Experience analysing current ETL/ELT processes, define and design new processes. Experience analysing business requirements in BI/Analytics context and designing data models to transform raw data into meaningful insights. Good to have knowledge on Data Visualization. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources.

As an organization with over 26 years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises, CES has established long-term relationships with leading Fortune 500 Companies across various industries such as Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These relationships, spanning over a decade, are built on our commitment to timely delivery of quality services, investments in technology innovations, and fostering a true partnership mindset with our customers. In our current phase of exponential growth, we maintain a consistent focus on continuous improvement and a process-oriented culture. To further support our accelerated growth, we are seeking qualified and committed individuals to join us and play an exceptional role. You can learn more about us at: http://www.cesltd.com/ Experience with Azure Synapse Analytics is a key requirement for this role. The ideal candidate should have hands-on experience in designing, developing, and deploying solutions using Azure Synapse Analytics, including a good understanding of its various components such as SQL pools, Spark pools, and Integration Runtimes. Proficiency in Azure Data Lake Storage is also essential, with a deep understanding of its architecture, features, and best practices for managing a large-scale Data Lake or Lakehouse in an Azure environment. Moreover, the candidate should have experience with AI Tools and LLMs (e.g. GitHub Copilot, Copilot, ChatGPT) for automating responsibilities related to the role. Knowledge of Avro and Parquet file formats is required, including experience in data serialization, compression techniques, and schema evolution in a big data environment. Prior experience working with data in a healthcare or clinical laboratory setting is highly desirable, along with a strong understanding of PHI, GDPR, HIPPA, and HITRUST regulations. Relevant certifications such as Azure Data Engineer Associate or Azure Synapse Analytics Developer Associate are highly desirable for this position. The essential functions of the role include designing, developing, and maintaining data pipelines for ingestion, transformation, and loading of data into Azure Synapse Analytics, as well as working on data models, SQL queries, stored procedures, and other artifacts necessary for data processing and analysis. Successful candidates should possess proficiency in relational databases such as Oracle, Microsoft SQL Server, PostgreSQL, MySQL/MariaDB, strong SQL skills, experience in building ELT pipelines and data integration solutions, familiarity with data modeling and warehousing concepts, and excellent analytical and problem-solving abilities. Effective communication and collaboration skills are also crucial for collaborating with cross-functional teams. If you are a dedicated professional with the required expertise and skills, we invite you to join our team and contribute to our continued success in delivering exceptional services to our clients.,

As a Data Engineer at our organization, you will have the opportunity to work on building smart, automated testing solutions. We are seeking individuals who are passionate about data engineering and eager to contribute to our growing team. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, IT, or equivalent field, with a minimum of 4 to 8 years of experience in building and deploying complex data pipelines and data solutions. For junior profiles, a similar educational background is preferred. Your responsibilities will include deploying data pipelines using technologies like Databricks, as well as demonstrating hands-on experience with Java and Databricks. Additionally, experience with visualization software such as Splunk (or alternatives like Grafana, Prometheus, PowerBI, Tableau) is desired. Proficiency in SQL and Java, along with hands-on experience in data modeling, is essential for this role. Familiarity with Pyspark or Spark for managing distributed data is also expected. Knowledge of Splunk (SPL), data schemas (e.g., JSON/XML/Avro), and deploying services as containers (e.g., Docker, Kubernetes) will be beneficial. Experience working with cloud services, particularly Azure, is advantageous. Familiarity with streaming and/or batch storage technologies like Kafka and data quality management and monitoring will be considered a plus. Strong communication skills in English are essential for effective collaboration within our team. If you are excited about this opportunity and possess the required qualifications, we encourage you to connect with us by sending your updated CV to nivetha.s@eminds.ai. Join us and become a part of our exciting journey!,

About the Role: Grade Level (for internal use): 11 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Build production ready data acquisition and transformation pipelines from ideation to deployment Being a hands-on problem solver and developer helping to extend and manage the data platforms Architect and lead the development of end-to-end data ingestion and processing pipelines to support downstream ML workflows Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Mentor junior and mid-level data engineers and provide technical guidance and best practices What Were Looking For 7-10 years of professional software work experience Expertise in Python and Apache Spark OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Proficient in optimizing data flows for performance, storage, and cost efficiency Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain DevOps with a keen interest in automation Apache Avro Apache Kafka Kubernetes Cloud expertise (AWS and GCP preferably) Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Ahmedabad,Noida,Uttarpradesh,Gurugram

Job Title:AWS Data EngineerExperience5-10 YearsLocation:Bangalore : Technical Skills: 5 + Years of experience as AWS Data Engineer, AWS S3, Glue Catalog, Glue Crawler, Glue ETL, Athena write Glue ETLs to convert data in AWS RDS for SQL Server and Oracle DB to Parquet format in S3 Execute Glue crawlers to catalog S3 files. Create catalog of S3 files for easier querying Create SQL queries in Athena Define data lifecycle management for S3 files Strong experience in developing, debugging, and optimizing Glue ETL jobs using PySpark or Glue Studio. Ability to connect Glue ETLs with AWS RDS (SQL Server and Oracle) for data extraction and write transformed data into Parquet format in S3. Proficiency in setting up and managing Glue Crawlers to catalog data in S3. Deep understanding of S3 architecture and best practices for storing large datasets. Experience in partitioning and organizing data for efficient querying in S3. Knowledge of Parquet file format advantages for optimized storage and querying. Expertise in creating and managing the AWS Glue Data Catalog to enable structured and schema-aware querying of data in S3. Experience with Amazon Athena for writing complex SQL queries and optimizing query performance. Familiarity with creating views or transformations in Athena for business use cases. Knowledge of securing data in S3 using IAM policies, S3 bucket policies, and KMS encryption. Understanding of regulatory requirements (e.g., GDPR) and implementing secure data handling practices. Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

NTT DATA is looking for a Data Ingest Engineer to join the team in Pune, Mahrshtra (IN-MH), India (IN). As a Data Ingest Engineer, you will be part of the Ingestion team of the DRIFT data ecosystem, focusing on ingesting data in a timely, complete, and comprehensive manner using the latest technology available to Citi. Your role will involve leveraging new and creative methods for repeatable data ingestion from various sources while ensuring the highest quality data is provided to downstream partners. Responsibilities include partnering with management teams to integrate functions effectively, identifying necessary system enhancements for new products and process improvements, and resolving high impact problems/projects through evaluation of complex business processes and industry standards. You will provide expertise in applications programming, ensure application design aligns with the overall architecture blueprint, and develop standards for coding, testing, debugging, and implementation. Additionally, you will analyze issues, develop innovative solutions, and mentor mid-level developers and analysts. The ideal candidate should have 6-10 years of experience in Apps Development or systems analysis, with extensive experience in system analysis and programming of software applications. Proficiency in Application Development using JAVA, Scala, Spark, familiarity with event-driven applications and streaming data, and experience with various schema, data types, ELT methodologies, and formats are required. Experience working with Agile and version control tool sets, leadership skills, and clear communication abilities are also essential. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. With experts in more than 50 countries and a strong partner ecosystem, NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. As a part of the NTT Group, NTT DATA invests significantly in R&D to support organizations and society in moving confidently into the digital future. For more information, visit us at us.nttdata.com.,

Tiger Analytics is a global AI and analytics consulting firm that is at the forefront of solving complex problems using data and technology. With a team of over 2800 experts spread across the globe, we are dedicated to making a positive impact on the lives of millions worldwide. Our culture is built on expertise, respect, and collaboration, with a focus on teamwork. While our headquarters are in Silicon Valley, we have delivery centers and offices in various cities in India, the US, UK, Canada, and Singapore, as well as a significant remote workforce. As an Azure Big Data Engineer at Tiger Analytics, you will be part of a dynamic team that is driving an AI revolution. Your typical day will involve working on a variety of analytics solutions and platforms, including data lakes, modern data platforms, and data fabric solutions using Open Source, Big Data, and Cloud technologies on Microsoft Azure. Your responsibilities may include designing and building scalable data ingestion pipelines, executing high-performance data processing, orchestrating pipelines, designing exception handling mechanisms, and collaborating with cross-functional teams to bring analytical solutions to life. To excel in this role, we expect you to have 4 to 9 years of total IT experience with at least 2 years in big data engineering and Microsoft Azure. You should be well-versed in technologies such as Azure Data Factory, PySpark, Databricks, Azure SQL Database, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview. Your passion for writing high-quality, scalable code and your ability to collaborate effectively with stakeholders are essential for success in this role. Experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, and Neo4J, as well as knowledge of different file formats and REST API design, will be advantageous. At Tiger Analytics, we value diversity and inclusivity, and we encourage individuals with varying skills and backgrounds to apply. We are committed to providing equal opportunities for all our employees and fostering a culture of trust, respect, and growth. Your compensation package will be competitive and aligned with your expertise and experience. If you are looking to be part of a forward-thinking team that is pushing the boundaries of what is possible in AI and analytics, we invite you to join us at Tiger Analytics and be a part of our exciting journey towards building innovative solutions that inspire and energize.,

Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Required Candidate profile Knowledge of Python and related frameworks including Django and Flask. A deep understanding and multi-process architecture and the threading limitations of Python. Perks and benefits Flexible Work Arrangements.

As an online travel booking platform, Agoda is committed to connecting travelers with a vast network of accommodations, flights, and more. With cutting-edge technology and a global presence, Agoda strives to enhance the travel experience for customers worldwide. As part of Booking Holdings and headquartered in Asia, Agoda boasts a diverse team of over 7,100 employees from 95+ nationalities across 27 markets. The work environment at Agoda is characterized by diversity, creativity, and collaboration, fostering innovation through a culture of experimentation and ownership. The core purpose of Agoda is to bridge the world through travel, believing that travel enriches lives, facilitates learning, and brings people and cultures closer together. By enabling individuals to explore and experience the world, Agoda aims to promote empathy, understanding, and happiness. As a member of the Observability Platform team at Agoda, you will be involved in building and maintaining the company's time series database and log aggregation system. This critical infrastructure processes a massive volume of data daily, supporting various monitoring tools and dashboards. The team faces challenges in scaling data collection efficiently while minimizing costs. In this role, you will have the opportunity to: - Develop fault-tolerant, scalable solutions in multi-tenant environments - Tackle complex problems in distributed and highly concurrent settings - Enhance observability tools for all developers at Agoda To succeed in this role, you will need: - Minimum of 8 years of experience in writing performant code using JVM languages (Java/Scala/Kotlin) or Rust (C++) - Hands-on experience with observability products like Prometheus, InfluxDB, Victoria Metrics, Elasticsearch, and Grafana Loki - Proficiency in working with messaging queues such as Kafka - Deep understanding of concurrency, multithreading, and emphasis on code simplicity and performance - Strong communication and collaboration skills It would be great if you also have: - Expertise in database internals, indexes, and data formats (AVRO, Protobuf) - Familiarity with observability data types like logs and metrics and proficiency in using profilers, debuggers, and tracers in a Linux environment - Previous experience in building large-scale time series data stores and monitoring solutions - Knowledge of open-source components like S3 (Ceph), Elasticsearch, and Grafana - Ability to work at low-level when required Agoda is an Equal Opportunity Employer and maintains a policy of considering all applications for future positions. For more information about our privacy policy, please refer to our website. Please note that Agoda does not accept third-party resumes and is not responsible for any fees associated with unsolicited resumes.,

About Prospecta Founded in 2002 in Sydney, Australia, with additional offices in India, North America, Canada, and a local presence in Europe, the UK, and Southeast Asia, Prospecta is dedicated to providing top-tier data management and automation software for enterprise clients. Our journey began with a mission to offer innovative solutions, leading us to become a prominent data management software company over the years. Our flagship product, MDO (Master Data Online), is an enterprise Master Data Management (MDM) platform designed to streamline data management processes, ensuring accurate, compliant, and relevant master data creation, as well as efficient data disposal. With a strong presence in asset-intensive industries such as Energy and Utilities, Oil and Gas, Mining, Infrastructure, and Manufacturing, we have established ourselves as a trusted partner in the field. Culture at Prospecta At Prospecta, our culture is centered around growth and embracing new challenges. We boast a passionate team that collaborates seamlessly to deliver value to our customers. Our diverse backgrounds create an exciting work environment that fosters a rich tapestry of perspectives and ideas. We are committed to nurturing an environment that focuses on both professional and personal development. Career progression at Prospecta is not just about climbing the corporate ladder but about encountering a continuous stream of meaningful opportunities that enhance personal growth and technical proficiency, all under the guidance of exceptional leaders. Our organizational structure emphasizes agility, responsiveness, and achieving tangible outcomes. If you thrive in a dynamic environment, enjoy taking on various roles, and are willing to go the extra mile to achieve goals, Prospecta is the ideal workplace for you. We continuously push boundaries while maintaining a sense of fun and celebrating victories, both big and small. About the Job Position: Jr. Platform Architect/ Sr. Backend Developer Location: Gurgaon Role Summary: In this role, you will be responsible for implementing technology solutions in a cost-effective manner by understanding project requirements and effectively communicating them to all stakeholders and facilitators. Key Responsibilities - Collaborate with enterprise architects, data architects, developers & engineers, data scientists, and information designers to identify and define necessary data structures, formats, pipelines, metadata, and workload orchestration capabilities. - Possess expertise in service architecture, development, and ensuring high performance and scalability. - Demonstrate experience in Spark, Elastic Search, SQL performance tuning, and optimization. - Showcase proficiency in architectural design and development of large-scale data platforms and data applications. - Hands-on experience with AWS, Azure, and OpenShift. - Deep understanding of Spark and its internal architecture. - Expertise in designing and building new Cloud Data platforms and optimizing them at the organizational level. - Strong hands-on experience in Big Data technologies such as Hadoop, Sqoop, Hive, and Spark, including DevOps. - Solid SQL (Hive/Spark) skills and experience in tuning complex queries. Must-Have - 7+ years of experience. - Proficiency in Java, Spring Boot, Apache Spark, AWS, OpenShift, PostgreSQL, Elastic Search, Message Queue, Microservice architecture, and Spark. Nice-to-Have - Knowledge of Angular, Python, Scala, Azure, Kafka, and various file formats like Parquet, AVRO, CSV, JSON, Hadoop, Hive, and HBase. What will you get Growth Path At Prospecta, your career journey is filled with growth and opportunities. Depending on your career trajectory, you can kickstart your career or accelerate your professional development in a dynamic work environment. Your success is our priority, and as you exhibit your abilities and achieve results, you will have the opportunity to quickly progress into leadership roles. We are dedicated to helping you enhance your experience and skills, providing you with the necessary tools, support, and opportunities to reach new heights in your career. Benefits - Competitive salary. - Health insurance. - Paid time off and holidays. - Continuous learning and career progression. - Opportunities to work onsite at various office locations and/or client sites. - Participation in annual company events and workshops.,

You are an experienced Senior QA Specialist being sought to join a dynamic team for a critical AWS to GCP migration project. Your primary responsibility will involve the rigorous testing of data pipelines and data integrity in GCP cloud to ensure seamless reporting and analytics capabilities. Your key responsibilities will include designing and executing test plans to validate data pipelines re-engineered from AWS to GCP, ensuring data integrity and accuracy. You will work closely with data engineering teams to understand AVRO, ORC, and Parquet file structures in AWS S3, and analyze the data in external tables created in Athena used for reporting. It will be essential to ensure that schema and data in Bigquery match against Athena to support reporting in PowerBI. Additionally, you will be required to test and validate Spark pipelines and other big data workflows in GCP. Documenting all test results and collaborating with development teams to resolve discrepancies will also be part of your responsibilities. Furthermore, providing support to UAT business users during UAT testing is expected. To excel in this role, you should possess proven experience in QA testing within a big data DWBI ecosystem. Strong familiarity with cloud platforms such as AWS, GCP, or Azure, with hands-on experience in at least one is necessary. Deep knowledge of data warehousing solutions like BigQuery, Redshift, Synapse, or Snowflake is essential. Expertise in testing data pipelines and understanding different file formats like Avro and Parquet is required. Experience with reporting tools such as PowerBI or similar is preferred. Your excellent problem-solving skills and ability to work independently will be valuable, along with strong communication skills and the ability to collaborate effectively across teams.,

Software Engineer - Lead/Sr.Engineer Bachelor in Computer Science, Engineering, or equivalent experience 7+ years of experience in core JAVA, Spring Framework (Required) 2 years of Cloud experience (GCP, AWS, Azure, GCP preferred ) (Required) Experience in big data processing, on a distributed system. (required) Experience in databases RDBMS, NoSQL databases Cloud natives. (Required) Experience in handling various data formats like Flat file, jSON, Avro, xml etc with defining the schemas and the contracts. (required) Experience in implementing the data pipeline (ETL) using Dataflow (Apache beam) Experience in Microservices and integration patterns of the APIs with data processing. Experience in data structure, defining and designing the data models.

: Job TitleStrategic Data Archive Onboarding Engineer, AS LocationPune, India Role Description Strategic Data Archive is an internal service which enables application to implement records management for regulatory requirements, application decommissioning, and application optimization. You will work closely with other teams providing hands on support onboarding by helping them define record content and metadata, configuring archiving, supporting testing and creating defensible documentation that archiving was complete. You will need to both support and manage the expectations of demanding internal clients. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Provide responsive customer service helping internal clients understand and efficiently manage their records management risks Explain our archiving services (both the business value and technical implementation) and respond promptly to inquiries Support the documentation and approval of requirements including record content and metadata Identify and facilitate implementing an efficient solution to meet the requirements Manage expectations and provide regular updates- frequently to senior stakeholders Configure archiving in test environments- will not be coding new functionality but will be making configuration changes maintained in a code repository and deployed with standard tools Support testing ensuring clients have appropriately managed implementation risks Help issue resolution including data issues, environment challenges, and code bugs Promote configurations from test environments to production Work with Production Support to ensure archiving is completed and evidenced Contribute towards a culture of learning and continuous improvement Will partner with teams in multiple location Your skills and experience Delivers against tight deadlines in a fast paced environment Manages others expectations and meets commitments High degree of accuracy and attention to detail Ability to communicate (written and verbal) concisely both business concepts and technical details and to influence partners including senior mangers High analytical capabilities and able to quickly grasp new contexts we support multiple areas of the Bank Expresses opinions while supporting group decisions Ensures deliverables are clearly documented and holds self and others accountable for meeting those deliverables Ability to identify risks at an early stage and implement mitigating strategies Flexibility and willingness to work autonomously and collaboratively Ability to work in virtual teams, agile environment and in matrixed organizations Treats everyone with respect and embraces diversity Bachelors Degree from an accredited college or university desirable Minimum 4 years experience implementing IT solutions in a global financial institution Comfortable with technology (e.g., SQL, FTP, XML, JSON) and a desire and ability to learn new skills as required (e.g., Fabric, Kubernetes, Kafka, Avro, Ansible) Must be an expert in SQL and have Python programming experience. Financial markets and Google Cloud Platform knowledge a plus while curiosity a requirement How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Work with the team to define high-level technical requirements and architecture for the back-end services ,Data components,data monetization component Develop new application features & enhance existing one Develop relevant documentation and diagram Required Candidate profile min 5+ yr of exp in Python development, with a focus on data-intensive application exp with Apache Spark & PySpark for large-scale data process understand of SQL & exp working with relational database

About the Role: Grade Level (for internal use): 12 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. Youll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. Whats in it for you Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What Were Looking For 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice to have Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group)

Dear Candidate, We are hiring a Scala Developer to work on scalable data pipelines, distributed systems, and backend services. This role is perfect for candidates passionate about functional programming and big data. Key Responsibilities: Develop data-intensive applications using Scala . Work with frameworks like Akka, Play, or Spark . Design and maintain scalable microservices and ETL jobs. Collaborate with data engineers and platform teams. Write clean, testable, and well-documented code. Required Skills & Qualifications: Strong in Scala, Functional Programming, and JVM internals Experience with Apache Spark, Kafka, or Cassandra Familiar with SBT, Cats, or Scalaz Knowledge of CI/CD, Docker, and cloud deployment tools Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies