3118 Scala Jobs

We are looking for a highly skilled and experienced Branch Receivable Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 1-4 years of experience in the BFSI industry, preferably with a background in Assets, Inclusive Banking, SBL, Mortgages, or Receivables. Roles and Responsibility Manage and oversee branch receivables operations for timely and accurate payments. Develop and implement strategies to improve receivables management and reduce delinquencies. Collaborate with cross-functional teams to resolve customer complaints and issues. Analyze and report on receivables performance metrics to senior management. Ensure compliance with regulatory requirements and internal policies. Maintain accurate records and reports of receivables transactions. Job Requirements Strong knowledge of BFSI industry trends and regulations. Experience in managing assets, inclusive banking, SBL, mortgages, or receivables. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and problem-solving skills. Proficiency in Microsoft Office and other relevant software applications.

We are looking for a highly skilled and experienced Branch Receivable Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 1-4 years of experience in the BFSI industry, preferably with a background in Assets, Inclusive Banking, SBL, Mortgages, or Receivables. Roles and Responsibility Manage and oversee branch receivables operations for timely and accurate payments. Develop and implement strategies to improve receivables management and reduce delinquencies. Collaborate with cross-functional teams to resolve customer complaints and issues. Analyze and report on receivables performance metrics to senior management. Ensure compliance with regulatory requirements and internal policies. Maintain accurate records and reports of receivables transactions. Job Requirements Strong knowledge of BFSI industry trends and regulations. Experience in managing assets, inclusive banking, SBL, mortgages, or receivables. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and problem-solving skills. Proficiency in Microsoft Office and other relevant software applications.

We are looking for a highly skilled and experienced Branch Receivable Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 1-4 years of experience in the BFSI industry, preferably with a background in Assets, Inclusive Banking, SBL, Mortgages, or Receivables. Roles and Responsibility Manage and oversee branch receivables operations for timely and accurate payments. Develop and implement strategies to improve receivables management and reduce delinquencies. Collaborate with cross-functional teams to resolve customer complaints and issues. Analyze and report on receivables performance metrics to senior management. Ensure compliance with regulatory requirements and internal policies. Maintain accurate records and reports of receivables transactions. Job Requirements Strong knowledge of BFSI industry trends and regulations. Experience in managing assets, inclusive banking, SBL, mortgages, or receivables. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and problem-solving skills. Proficiency in Microsoft Office and other relevant software applications. Location: Mayiladuthurai,Chidambaram,Cuddalore,Tittakudi

We are looking for a highly skilled and experienced Branch Receivable Officer to join our team at Equitas Small Finance Bank. The ideal candidate will have 1-4 years of experience in the BFSI industry, preferably with a background in Assets, Inclusive Banking, SBL, Mortgages, or Receivables. Roles and Responsibility Manage and oversee branch receivables operations for timely and accurate payments. Develop and implement strategies to improve receivables management and reduce delinquencies. Collaborate with cross-functional teams to resolve customer complaints and issues. Analyze and report on receivables performance metrics to senior management. Ensure compliance with regulatory requirements and internal policies. Maintain accurate records and reports of receivables transactions. Job Requirements Strong knowledge of BFSI industry trends and regulations. Experience in managing assets, inclusive banking, SBL, mortgages, or receivables. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong analytical and problem-solving skills. Proficiency in Microsoft Office and other relevant software applications.

We are seeking a highly skilled and experienced Cloud Data Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure on GCP/AWS/Azure, ensuring data is accessible, reliable, and available for business use. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain data pipelines using GCP/AWS/Azure services such as Dataflow, Dataproc, BigQuery, and Cloud Storage. Data Integration: Work on integrating data from various sources (structured, semi-structured, and unstructured) into GCP/AWS/Azure environments. Data Modeling: Develop and maintain efficient data models in BigQuery to support analytics and reporting needs. Data Warehousing: Implement data warehousing solutions on GCP, optimizing performance and scalability. ETL/ELT Processes: Build and manage ETL/ELT processes using tools like Apache Airflow, Data Fusion, and Python. Data Quality & Governance: Implement data quality checks, data lineage, and data governance best practices to ensure high data integrity. Automation: Automate data pipelines and workflows to reduce manual effort and improve efficiency. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Optimization: Continuously monitor and optimize the performance of data pipelines and queries for cost and efficiency. Security: Ensure data security and compliance with industry standards and best practices. Required Skills & Qualifications: Education: Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. Experience: 8+ years of experience in data engineering, with at least 2 years working with GCP/Azure/AWS Technical Skills: Strong programming skills in Python, SQL,Pyspark and familiarity with Java/Scala. Experience with orchestration tools like Apache Airflow. Knowledge of ETL/ELT processes and tools. Experience with data modeling and designing data warehouses in BigQuery. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of data governance, security, and compliance. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced environment and manage multiple priorities. Preferred Qualifications: Certifications: GCP Professional Data Engineer or GCP Professional Cloud Architect certification. Domain Knowledge: Experience in the finance, e-commerce, healthcare domain is a plus.

Duration : 6 Months Timings : General IST Notice Period : within 15 days or immediate joiner About the Role : As a Data Engineer for the Data Science team, you will play a pivotal role in enriching and maintaining the organization's central repository of datasets. This repository serves as the backbone for advanced data analytics and machine learning applications, enabling actionable insights from financial and market data. You will work closely with cross-functional teams to design and implement robust ETL pipelines that automate data updates and ensure accessibility across the organization. This is a critical role requiring technical expertise in building scalable data pipelines, ensuring data quality, and supporting data analytics and reporting infrastructure for business growth. Note : Must be ready for face-to-face interview in Bangalore (last round) - Should be working with Azure as cloud technology. Key Responsibilities : ETL Development : - Design, develop, and maintain efficient ETL processes for handling multi-scale datasets. - Implement and optimize data transformation and validation processes to ensure data accuracy and consistency. - Collaborate with cross-functional teams to gather data requirements and translate business logic into ETL workflows. Data Pipeline Architecture : - Architect, build, and maintain scalable and high-performance data pipelines to enable seamless data flow. - Evaluate and implement modern technologies to enhance the efficiency and reliability of data pipelines. - Build pipelines for extracting data via web scraping to source sector-specific datasets on an ad hoc basis. Data Modeling : - Design and implement data models to support analytics and reporting needs across teams. - Optimize database structures to enhance performance and scalability. Data Quality and Governance : - Develop and implement data quality checks and governance processes to ensure data integrity. - Collaborate with stakeholders to define and enforce data quality standards across the organization. Documentation and Communication : - Maintain detailed documentation of ETL processes, data models, and other key workflows. - Effectively communicate complex technical concepts to non-technical stakeholders and business users. Cross-Functional Collaboration : - Work closely with the Quant team and developers to design and optimize data pipelines. - Collaborate with external stakeholders to understand business requirements and translate them into technical solutions. Essential Requirements : Basic Qualifications : - Bachelor's degree in Computer Science, Information Technology, or a related field.Familiarity with big data technologies like Hadoop, Spark, and Kafka. - Experience with data modeling tools and techniques. - Excellent problem-solving, analytical, and communication skills. - Proven experience as a Data Engineer with expertise in ETL techniques (minimum years). - 3-6 years of strong programming experience in languages such as Python, Java, or Scala - Hands-on experience in web scraping to extract and transform data from publicly available web sources. - Proficiency with cloud-based data platforms such as AWS, Azure, or GCP. - Strong knowledge of SQL and experience with relational and non-relational databases. - Deep understanding of data warehousing concepts and architectures. Preferred Qualifications : - Master's degree in Computer Science or Data Science. - Knowledge of data streaming and real-time processing frameworks. - Familiarity with data governance and security best practices.

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Java, Kotlin, Scala, Java Virtual Machine, JVM, AWS, Azure, GCP, Microservices, CI and CD, Jenkins, TypeScript, JavaScript What Youll Do: Play a key role in developing and driving a multi-year technology strategy for a complex platform Lead multiple software development teams - architecting solutions at scale to empower the business, and owning all aspects of the SDLC: design, build, deliver, and maintain Directly and indirectly manage several software engineers by providing coaching, guidance, and mentorship to grow the team as well as individuals Inspire, coach, mentor, and support your team members in their day to day work and their long term professional growth Attract, onboard, develop and retain diverse top talents, while fostering an inclusive and collaborative team and culture (our latest DEI Report) Lead your team and peers by example. As a senior member of the team your methodologies, technical and operational excellence practices, and system designs will help to continuously improve our domain Identify, propose, and drive initiatives to advance the technical skills, standards, practices, architecture, and documentation of our engineering teams Facilitate technical debate and decision making with an appreciation for trade-offs Continuously rethink and push the status quo, even when it challenges your/our established ideas. We Are a Match Because You Have: Results-oriented, collaborative, pragmatic, and continuous improvement mindset Hands-on experience driving software transformations within high-growth environments, previous platform experience is required. 12+ years of experience in engineering, out of which at least 5-6 years spent in leading highly performant teams and their managers Experience making architectural and design-related decisions for large scale platforms, understanding the tradeoffs between time-to-market vs. flexibility Significant experience and vocation in managing and enabling peoples growth and performance Experience designing and building high-scale generalizable products with outstanding user experience. Practical experience in hiring and developing engineering teams and culture and leading interdisciplinary teams in a fast-paced agile environment Capability to communicate and collaborate across the wider organization, influencing decisions with and without direct authority and always with inclusive, adaptable, and persuasive communication Analytical and decision-making skills that integrate technical and business requirements.

Total experience 7+ years. Excellent knowledge and experience in Big data engineer. Strong experience in Apache Spark, Python , and Scala Hands-on experience with Google Cloud Platform (GCP ) services, especially BigQuery, DataProc, and Cloud Storage Proven experience in workflow orchestration tools such as Cloud Composer / Apache Airflow Solid understanding of distributed computing, parallel processing, and big data best practices Strong problem-solving and debugging skills Experience working in Agile/Scrum environments Familiarity with data modeling, data warehousing, and building distributed systems. Expertise in Spanner for high-availability, scalable database solutions. Knowledge of data governance and security practices in cloud-based environments. Problem-solving mindset with the ability to tackle complex data engineering challenges. Strong communication and teamwork skills, with the ability to mentor and collaborate effectively RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client s business use cases and technical requirements and be able to convert them in to technical design which elegantly meets the requirements . Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the client s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements Bachelor s or master s degree in computer science, Information Technology, or a related field.

Total experience 7+ years. Excellent knowledge and experience in Big data engineer. Strong experience with Apache Spark in real-time and batch processing environments. Proficiency in Python and Scala for data engineering tasks. Solid experience with Google Cloud Platform (GCP) services: BigQuery, Cloud Storage, and DataProc. Hands-on experience with Cloud Composer (or Apache Airflow) for scheduling and managing data workflows. Solid understanding of distributed computing, parallel processing, and big data best practices Strong problem-solving and debugging skills Experience working in Agile/Scrum environments Familiarity with data modeling, data warehousing, and building distributed systems. Expertise in Spanner for high-availability, scalable database solutions. Knowledge of data governance and security practices in cloud-based environments. Problem-solving mindset with the ability to tackle complex data engineering challenges. Strong communication and teamwork skills, with the ability to mentor and collaborate effectively. RESPONSIBILITIES: Writing and reviewing great quality code. Understanding the client s business use cases and technical requirements and be able to convert them in to technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Bachelor s or master s degree in computer science, Information Technology, or a related field.

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity Must have skills required: Golang, Python, Java Requirements : We are looking for a Backend Engineer to help us through the next level of technology changes needed to revolutionize Healthcare for India. We are seeking individuals who can understand real-world scenarios and come up with scalable tech solutions for millions of patients to make healthcare accessible. The role comes with a good set of challenges to solve, and offers an opportunity to build new systems that will be rolled out at scale. You have 4 to 7 years or more of software development experience with expertise in designing and implementing high-performance web applications. Very strong understanding and experience with any of Java, Scala, GoLang, Python. Experience writing optimized queries in relational databases like Mysql, redshift / Postgres. You have exposure to basic data engineering concepts like data pipeline, hadoop or spark Write clean and testable code. You love to build platforms that enable other teams to build on top of. Some of challenges we solve include: Clinical decision support Early Detection: Digitally assist doctors in identifying high-risk patients for early intervention Track & Advice: Analyze patients vitals/test values across visits to assist doctors in personalizing chronic care. Risk Prevention: Assist doctors in monitoring the progression of chronic disease by drawing attention to additional symptoms and side effects. EMR (Electronic Medical Records): Clinical software to write prescriptions and manage clinical records AI-powered features Adapts to doctors practice: Learns from doctors prescribing preferences and provides relevant auto-fill recommendations for faster prescriptions. Longitudinal patient journey: AI analyses the longitudinal journey of patients to assist doctors in early detection. Medical language processing: AI-driven automatic digitization of printed prescriptions and test reports. Core platform Pharma advertising platform to doctors at the moment of truth Real world evidence to generate market insights for B2B consumption Virtual Store Online Pharmacy + Diagnostic solutions helping patients with one-click order Technologies we use : Distributed Tech: Kafka, Elastic search Databases: MongoDB, RDS Cloud platform: AWS Languages: Go-lang, python, PHP UI Tech: React, react native Caching: Redis Big Data: AWS Athena, Redshift APM: NewRelic Responsibilities : Develop well testable and reusable services with structured, granular and well-commented code. Contribute in the area of API building, data pipeline setup, and new tech initiatives needed for a core platform Acclimate to new technologies and situations as per the company demands and requirements with the vision of providing best customer experience Meet expected deliverables and quality standards with every release Collaborate with teams to design, develop, test and refine deliverables that meet the objectives Perform code reviews and implement improvement plans Additional Responsibilities : Pitch-in during the phases of design and architectural solutions of Business problems. Organize, lead and motivate the development team to meet expected timelines and quality standards across releases. Actively contribute to development process improvement plans. Assist peers by code reviews and juniors through mentoring. Must have Skills : Sound understanding of Computer Science fundamentals including Data Structures and Space and Time complexity. Excellent problem solving skills Solid understanding of any of the modern Object oriented programming languages (like Java, Ruby or Python) and or Functional languages (like Scala, GoLang) Understanding of MPP (Massive parallel processing) and frameworks like Spark Experience working with Databases (RDBMS - Mysql, Redshift etc, NoSQL - Couchbase / MongoDB / Cassandra etc). Experience working with open source libraries and frameworks. Strong hold on versioning tools Git/Bitbucket. Good to have Skills : Knowledge of MicroServices architecture. Have experience working with Kafka Experience or Exposure to ORM frameworks (like ActiveRecord, SQLAlchemy etc). Working knowledge of full text search (like ElasticSearch, Solr etc).

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation

Hiring a Solution Architect with 810 yrs experience in data, AI & GenAI. Must have strong cloud (AWS/Azure/GCP), LLM, ML (TensorFlow/PyTorch), and full-stack skills. Role involves designing scalable architectures and leading technical teams.

Dear Candidate, Greetings of the day!!! Location- Bangalore, Hyderabad , Pune and Chennai Experience- 3.5 years to 13 years Short JD- Job Description Key skills- Spark or Pyspark or Scala (Any big data skill is fine) All skills are good to have. Desired Competencies (Technical/Behavioral Competency) Must-Have** (Ideally should not be more than 3-5) 1. Minimum 3-12 years of experience in build & deployment of Bigdata applications using SparkSQL, SparkStreaming in Python; 2. Minimum 2 years of extensive experience in design, build and deployment of Python-based applications; 3. Design and develop ETL integration patterns using Python on Spark. Develop framework for converting existing PowerCenter mappings and to PySpark(Python and Spark) Jobs. Expertise on graph algorithms and advanced recursion techniques. Hands-on experience in generating/parsing XML, JSON documents, and REST API request/responses. Good-to-Have Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities.

About the Role We are looking for a Staff EngineerReal-time Data Processing to design and develop highly scalable, low-latency data streaming platforms and processing engines. This role is ideal for engineers who enjoy building core systems and infrastructure that enable mission-critical analytics at scale. Youll work on solving some of the toughest data engineering challenges in healthcare. A Day in the Life Architect, build, and maintain a large-scale real-time data processing platform. Collaborate with data scientists, product managers, and engineering teams to define system architecture and design. Optimize systems for scalability, reliability, and low-latency performance. Implement robust monitoring, alerting, and failover mechanisms to ensure high availability. Evaluate and integrate open-source and third-party streaming frameworks. Contribute to the overall engineering strategy and promote best practices for stream and event processing. Mentor junior engineers and lead technical initiatives. What You Need 8+ years of experience in backend or data engineering roles, with a strong focus on building real-time systems or platforms. Hands-on experience with stream processing frameworks like Apache Flink, Apache Kafka Streams, or Apache Spark Streaming. Proficiency in Java, Scala, or Python or Go for building high-performance services. Strong understanding of distributed systems, event-driven architecture, and microservices. Experience with Kafka, Pulsar, or other distributed messaging systems. Working knowledge of containerization tools like Docker and orchestration tools like Kubernetes. Proficiency in observability tools such as Prometheus, Grafana, OpenTelemetry. Experience with cloud-native architectures and services (AWS, GCP, or Azure). Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

About the Role We are looking for a Staff Engineer specialized in Master Data Management to design and develop our next-generation MDM platform. This role is ideal for engineers who have created or contributed significantly to MDM solutions. Youll lead the architecture and development of our core MDM engine, focusing on data modeling, matching algorithms, and governance workflows that enable our customers to achieve a trusted, 360-degree view of their critical business data. A Day in the Life Collaborate with data scientists, product managers, and engineering teams to define system architecture and design. Architect and develop scalable, fault-tolerant MDM platform components that handle various data domains. Design and implement sophisticated entity matching and merging algorithms to create golden records across disparate data sources. Develop or Integrate flexible data modeling frameworks that can adapt to different industries and use cases. Create robust data governance workflows, including approval processes, audit trails, and role-based access controls. Build data quality monitoring and remediation capabilities into the MDM platform. Collaborate with product managers, solution architects, and customers to understand industry-specific MDM requirements. Develop REST APIs and integration patterns for connecting the MDM platform with various enterprise systems. Mentor junior engineers and promote best practices in MDM solution development. Lead technical design reviews and contribute to the product roadmap What You Need 8+ years of software engineering experience, with at least 5 years focused on developing master data management solutions or components. Proven experience creating or significantly contributing to commercial MDM platforms, data integration tools, or similar enterprise data management solutions. Deep understanding of MDM concepts including data modeling, matching/merging algorithms, data governance, and data quality management. Strong expertise in at least one major programming language such as Java, Scala, Python, or Go. Experience with database technologies including relational (Snowflake, Databricks, PostgreSQL) and NoSQL systems (MongoDB, Elasticsearch). Knowledge of data integration patterns and ETL/ELT processes. Experience designing and implementing RESTful APIs and service-oriented architectures. Understanding of cloud-native development and deployment on AWS, or Azure. Familiarity with containerization (Docker) and orchestration tools (Kubernetes). Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ). Strong understanding of data security and privacy considerations, especially for sensitive master data. Bachelors or Masters degree in Computer Science, Information Systems, or related field.

About the Role We are looking for a Staff Engineer to lead the design and development of a scalable, secure, and robust data platform. You will play a key role in building data platform capabilities for data quality, metadata management, lineage tracking, and compliance across all data layers. If youre passionate about building foundational data infrastructure that accelerates innovation in healthcare, wed love to talk. A Day in the Life Architect, design, and build scalable data governance tools and frameworks. Collaborate with cross-functional teams to ensure data compliance, security, and usability. Lead initiatives around metadata management, data lineage, and data cataloging. Define and evangelize standards and best practices across data engineering teams. Own the end-to-end lifecycle of governance tooling from prototyping to production deployment. Mentor and guide junior engineers and contribute to technical leadership across the organization. Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions. What You Need 8+ years of experience in software engineering. Strong experience building distributed systems for metadata management, data lineage, and quality tracking. Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design. Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc. Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings. Prior experience in building metadata management frameworks for scale. Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

About the Role: Grade Level (for internal use): 10 The Team: We seek a highly motivated, enthusiastic, and skilled engineer for our Industry Data Solutions Team. We strive to deliver sector-specific, data-rich, and hyper-targeted solutions for evolving business needs. You will be expected to participate in the design review process, write high-quality code, and work with a dedicated team of QA Analysts and Infrastructure Teams. The Impact: Enterprise Data Organization is seeking a Software Developer to create software design, development, and maintenance for data processing applications. This person would be part of a development team that manages and supports the internal & external applications that is supporting the business portfolio. This role expects a candidate to handle any data processing, big data application development. We have teams made up of people that learn how to work effectively together while working with the larger group of developers on our platform. What’s in it for you: Opportunity to contribute to the development of a world-class Platform Engineering team . Engage in a highly technical, hands-on role designed to elevate team capabilities and foster continuous skill enhancement. Be part of a fast-paced, agile environment that processes massive volumes of data—ideal for advancing your software development and data engineering expertise while working with a modern tech stack. Contribute to the development and support of Tier-1, business-critical applications that are central to operations. Gain exposure to and work with cutting-edge technologies, including AWS Cloud and Databricks . Grow your career within a globally distributed team , with clear opportunities for advancement and skill development. Responsibilities: Design and develop applications, components, and common services based on development models, languages, and tools, including unit testing, performance testing, and monitoring, and implementation Support business and technology teams as necessary during design, development, and delivery to ensure scalable and robust solutions Build data-intensive applications and services to support and enhance fundamental financials in appropriate technologies.( C#, .Net Core, Databricsk, Spark ,Python, Scala, NIFI , SQL) Build data modeling, achieve performance tuning and apply data architecture concepts Develop applications adhering to secure coding practices and industry-standard coding guidelines, ensuring compliance with security best practices (e.g., OWASP) and internal governance policies. Implement and maintain CI/CD pipelines to streamline build, test, and deployment processes; develop comprehensive unit test cases and ensure code quality Provide operations support to resolve issues proactively and with utmost urgency Effectively manage time and multiple tasks Communicate effectively, especially in writing, with the business and other technical groups Basic Qualifications: Bachelor's/Master’s Degree in Computer Science, Information Systems or equivalent. Minimum 5 to 8 years of strong hand-development experience in C#, .Net Core, Cloud Native, MS SQL Server backend development. Proficiency with Object Oriented Programming. Nice to have knowledge in Grafana, Kibana, Big data, Kafka, Git Hub, EMR, Terraforms, AI-ML Advanced SQL programming skills Highly recommended skillset in Databricks , SPARK , Scala technologies. Understanding of database performance tuning in large datasets Ability to manage multiple priorities efficiently and effectively within specific timeframes Excellent logical, analytical and communication skills are essential, with strong verbal and writing proficiencies Knowledge of Fundamentals, or financial industry highly preferred. Experience in conducting application design and code reviews Proficiency with following technologies: Object-oriented programming Programing Languages (C#, .Net Core) Cloud Computing Database systems (SQL, MS SQL) Nice to have: No-SQL (Databricks, Spark, Scala, python), Scripting (Bash, Scala, Perl, Powershell) Preferred Qualifications: Hands-on experience with cloud computing platforms including AWS , Azure , or Google Cloud Platform (GCP) . Proficient in working with Snowflake and Databricks for cloud-based data analytics and processing. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the 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: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure 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 Perks: It’s 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 Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316914 Posted On: 2025-06-23 Location: Hyderabad, Telangana, India

India Information Technology (IT) Group Functions Job Reference # 319493BR City Pune Job Type Full Time Your role Do you have the experience to design, develop and execute automated test scripts? Do you enjoy testing Front to back aspects of the application, ETL pipelines and ensuring data quality within software applications? Do you regularly build and maintain automated testing scripts written in Scala, Spark and SQL? We are looking for someone like that who has : automation Framework development experience previous experience working in a testing and/or quality assurance role enjoys working with data Your Career Comeback We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback. Your team You’ll be working in the Group Compliance, Regulatory & Governance IT team based in Pune, India. Our role is to automate scenarios for global Regulatory Reporting requirements. We are a global IT team supporting internal clients throughout the world. Your expertise Responsibilities build an automation testing framework for ETL and Data Quality Validation build and maintain automated testing scripts written in Scala, Spark and SQL build and maintain automated testing scripts written in Selenium work with Scrum/Agile team to establish and support the execution of automated tests on the Continuous Integration Environment create, modify and execute automated tests, test scripts, test suites including functional, and regression tests to extract, transform and load data that is transmitted between systems. executes both manual and automated tests. Analyze execution results to determine the reason for test failures ensure clear and prompt reporting on a build/release status to all stakeholders based on test run execution results develop expertise in the applications and maintain solid knowledge with respect to automated testing tools and techniques that support Front to Back/ETL/Data Integration testing About us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How we hire We may request you to complete one or more assessments during the application process. Learn more Contact Details UBS Business Solutions SA UBS Recruiting Disclaimer / Policy statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 12+ years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Skill sets: Database - oracle SQL/PL-SQL Bigdata - Spark,Scala,Hive Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: · Experience of 4 to 7 years who has adequate knowledge Scala's object-oriented programming. · Scala code written in the backend is the basis of the finance module reports which are accessed via QuickSight. · To assess scala code written for Finance module reports, figure out the issues and fix the same. Mandatory skill sets: Scala and OOP Preferred skill sets: Scala and OOP Years of experience required: 4 – 7 yrs Education qualification: B.tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Scala (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Would you like to be part of a team that delivers high-quality software to our customers? Are you a highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others? About Our Team Our global team supports products that educate and provide electronic health records, introducing students to digital charting and preparing them to document care in today’s modern clinical environment. We have a stable product that we strive to maintain while valuing trust, respect, collaboration, agility, and quality in our team. About the Role This position is performed by an experienced professional and will undertake difficult research, design and software development assignments within a software functional area or product line, and provides direct input to project plans, schedules and methodology in the development of cross-functional software products under the guidance of more senior members of the squad. This position performs software design - typically across multiple components; is developing the skills of mentoring more junior members of the team and works with others to talk to users/customers and translates their requests into solutions Responsibilities Working in an agile scrum team that works in a T-shape model to achieve a common goal and delivers value in 2-week sprints. Taking advantage of XP techniques such as test-driven development, pair programming and continuous delivery. Delivering software using modern technology stacks (microservices, single page applications). Developing test automation, including unit and integration testing. Suggesting and implementing solutions using AWS Cloud infrastructure. Working closely with Frontend, Data, System and Quality Engineers to build the product; receiving support from the entire team when needed, and willing to support them when necessary. Actively reviewing the implementations done in your team, and also other teams. Requirements Hands-on experience for writing complex queries/aggregations on Elastic Search. Solid experience with Java and modern Java frameworks. Strong knowledge of data structures, algorithms, and designing for performance, scalability, availability and security. Experience with relational and NoSQL data sources. Nice to have Scala and Spark Experience designing / building complex software systems that have been successfully delivered to customer. Demonstrate clear understanding of CI/CD, building and running pipelines (ideally Jenkins, Github Actions). Hands on experience on Test Driven Development and automated integration testing. Cloud experience (ideally AWS). Way that Works for You We promote a healthy work-life balance across the organization. We offer numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer: Comprehensive Health Insurance. Enhanced Health Insurance Options. Group Life Insurance. Group Accident Insurance. Flexible Working Arrangements. Employee Assistance Program. Medical Screening. Modern Family Benefits including maternity, paternity, and adoption support. Long-Service Awards. Celebratory New Baby Gift. Subsidized Meals (location-specific). Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport for home-office-home commutes (location-specific). About the Business We are a global leader in information and analytics, assisting researchers and healthcare professionals in advancing science and improving health outcomes. We combine quality information and extensive data sets with analytics to support science and research, health education, and interactive learning. At our company, your work contributes to addressing the world's grand challenges and fostering a sustainable future. We utilize innovative technologies to support science and healthcare, partnering for a better world. - We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description This role is responsible for driving multiple complex tracks of work to deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members. Skills Primarily: Scala & Spark: Strong in functional programming and big data processing using Spark... Java: Proficient in Java 8+, REST API development, multithreading, and OOP concepts. Good Hands-on with MongoDB CAAS: Experience with Docker, Kubernetes, and deploying containerized apps. Tools: Git, CI/CD, JSON, SBT/Maven, Agile methodologies. Key Responsibilities Uses new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems Participates in the development of complex prototypes and department applications that integrate Big Data and advanced analytics to make business decisions Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem Participates in the development of complex technical solutions using Big Data techniques in data & analytics processes Influence within the team on the effectiveness of Big Data systems to solve their business problems. Leverages and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive “real time decisions” analytics Partners closely with team members on Big Data solutions for our data science community and analytic users Partners with Allstate Technology teams on Big Data efforts Education Masters Degree (Preferred) Experience 6 or more years of experience (Preferred) Primary Skills Apache Spark, Big Data, Big Data Engineering, Big Data Systems, Big Data Technologies, CasaXPS, CI/CD, Data Science, Docker (Software), Git, Influencing Others, Java, MongoDB, Multithreading, RESTful APIs, Scala (Programming Language), ScalaTest, Spring Boot Shift Time Recruiter Info rkotz@allstate.com About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here.

Job Title: Senior Data Engineer – Azure | ADF | Databricks | PySpark | AWS Location: Bangalore, Hyderabad, Chennai (Hybrid Mode) Experience Required: 5+ Years Notice Period: Immediate Job Description We are looking for a Senior Data Engineer who is passionate about designing and developing scalable data pipelines, optimizing data architecture, and working with advanced big data tools and cloud platforms. This is a great opportunity to be a key player in transforming data into meaningful insights by leveraging modern data engineering practices on Azure, AWS, and Databricks . You will be working with cross-functional teams including data scientists, analysts, and software engineers to deliver robust data solutions. The ideal candidate will be technically strong in Azure Data Factory, PySpark, Databricks, and AWS services , and will have experience in building end-to-end ETL workflows and driving business impact through data. Key Responsibilities Design, build, and maintain scalable and reliable data pipelines and ETL workflows Implement data ingestion and transformation using Azure Data Factory (ADF) and Azure Databricks (PySpark) Work across multiple data platforms including Azure, AWS, Snowflake, and Redshift Collaborate with data scientists and business teams to understand data needs and deliver solutions Optimize data storage, processing, and retrieval for performance and cost-effectiveness Develop data quality checks and monitoring frameworks for pipeline health Ensure data governance, security, and compliance with industry standards Lead code reviews, set data engineering standards, and mentor junior team members Propose and evaluate new tools and technologies for continuous improvement Must-Have Skills Strong programming skills in Python , SQL , or Scala Azure Data Factory , Azure Databricks , Synapse Analytics Hands-on with PySpark , Spark, Hadoop, Hive Experience with cloud platforms (Azure preferred; AWS/GCP acceptable) Data Warehousing: Snowflake , Redshift , BigQuery Strong ETL/ELT pipeline development experience Workflow orchestration tools such as Airflow , Prefect , or Luigi Excellent problem-solving, debugging, and communication skills Nice to Have Experience with real-time streaming tools (Kafka, Flink, Spark Streaming) Exposure to data governance tools and regulations (GDPR, HIPAA) Familiarity with ML model integration into data pipelines Containerization and CI/CD exposure: Docker, Git, Kubernetes (basic) Experience with Vector databases and unstructured data handling Technical Environment Programming: Python, Scala, SQL Big Data Tools: Spark, Hadoop, Hive Cloud Platforms: Azure (ADF, Databricks, Synapse), AWS (S3, Glue, Lambda), GCP Data Warehousing: Snowflake, Redshift, BigQuery Databases: PostgreSQL, MySQL, MongoDB, Cassandra Orchestration: Apache Airflow, Prefect, Luigi Tools: Git, Docker, Azure DevOps, CI/CD pipelines Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Collaborative team player with leadership qualities Self-motivated, organized, and able to manage multiple projects Education & Certifications Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or equivalent Cloud certifications (e.g., Microsoft Azure Data Engineer, AWS Big Data) are a plus Key Result Areas (KRAs) Timely delivery of high-performance data pipelines Quality of data integration and governance compliance Business team satisfaction and data readiness Proactive optimization of data processing workloads Key Performance Indicators (KPIs) Pipeline uptime and performance metrics Reduction in overall data latency Zero critical issues in production post-release Stakeholder satisfaction score Number of successful integrations and migrations Job Types: Full-time, Permanent Pay: ₹1,559,694.89 - ₹2,441,151.11 per year Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What is your notice period in days? Experience: Azure Data Factory, Azure Databricks, Synapse Analytics: 5 years (Required) Python, SQL, or Scala: 5 years (Required) Work Location: In person

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: Insurance(INSURANCE) Job Category: Engineering & Technology Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. You will be part of Moody’s Insurance Solutions where we develop cutting-edge software, sophisticated models, and advanced analytics that power risk quantification for the global multi trillion-dollar P&C market. Our solutions enable organizations to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, wildfires, terrorism, cyber threats, climate change, and pandemics. We are seeking individuals driven by a deep enthusiasm for high-performance cloud computing, advanced data analytics, AI/ML, and the pursuit of groundbreaking innovations in model science to solve critical real-world problems Role/Responsibilities As a Senior Software Engineer, you will: Deliver high-quality, scalable, and maintainable software solutions aligned with team and product goals Independently own and execute key projects or components, ensuring delivery within deadlines and exceeding quality expectations Collaborate cross-functionally with product managers, UX designers, and other engineers to prioritize impactful solutions that align with customer needs Contribute to technical roadmaps, identifying opportunities to streamline processes and optimize system performance Lead technical discussions and provide detailed feedback during code and design reviews to ensure best practices Mentor junior engineers, fostering a growth mindset and helping develop their technical and collaborative skills Proactively identify and resolve complex technical challenges, ensuring system reliability, scalability, and performance Advocate for and implement improvements in team processes, tooling, and software quality Embrace and navigate ambiguity, balancing immediate needs with long-term technical and organizational objectives Document and communicate technical solutions and decisions effectively to stakeholders across teams Qualifications 6+ years of professional software development experience, demonstrating a track record of delivering impactful technical solutions in collaborative environments Bachelor's or master's degree in computer science, Engineering, or a related discipline-or equivalent professional experience Proficiency in one or more of the following programming languages: Java, Scala, C#, C++, or Python Experience dealing with both relational databases (Postgres, MySql , Sql Server, or Oracle) and NoSql data stores at scale Expertise in developing robust, production-quality RESTful APIs and microservices Familiarity building cloud-native applications with Docker & Kubernetes as well as on-prem software solutions Comprehensive understanding of data structures, algorithms, and complexity analysis Strong grasp of software design principles, architectural best practices, and testing strategies Hands-on experience with system performance tuning, multi-threading, and memory management Demonstrated ability to lead projects and collaborate across disciplines to drive outcomes that meet customer and business needs Commitment to ensuring application scalability, availability, reliability, and security Passion for continuous learning, adaptability, and contributing to a high-performing engineering culture If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.