4794 Hadoop Jobs - Page 3

Job Title: Machine Learning Engineer Experience: 5-7 years Location: Bangalore Key Responsibilities: - Design, develop, and deploy machine learning models and algorithms using Python - Collaborate with cross-functional teams to define project requirements and deliverables - Analyze large datasets to extract insights and inform decision-making - Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, and scikit-learn - Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency Required Skills: - Technical Skills: - Proficiency in Python programming - Experience with machine learning frameworks (TensorFlow, PyTorch, Keras) - Strong understanding of data analysis techniques and statistical methods - Familiarity with data engineering tools (SQL, Hadoop, Spark) - Soft Skills: - Excellent problem-solving skills and attention to detail - Strong communication skills to convey complex technical concepts effectively Preferred Skills: - Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices - Familiarity with Agile methodologies and DevOps practices - Knowledge of specific domains like natural language processing (NLP) or computer vision Education: - Bachelor's or Master's degree in Computer Science, Mathematics, or a related field Show more Show less

Assistant / Deputy Manager Hyderabad B.E./MCA/B.Tech/M.sc (I.T.) 25-35 Experience & Role: Experience – above 5-8 years relevant experience. Role - We are looking for a technically strong and detail-oriented professional to manage and support our Cloudera Data Platform (CDP) ecosystem. The ideal candidate should possess in-depth expertise in distributed data processing frameworks and hands-on experience with core Hadoop components. This role requires both operational excellence and technical depth, with an emphasis on optimizing data processing pipelines and maintaining high system availability. Job Description: - Administer and maintain the Cloudera Data Platform (CDP) across all environments (dev/test/prod) - Strong expertise in Big Data ecosystem like Spark, Hive, Sqoop, HDFS, Map Reduce, Oozie, Yarn, HBase, Nifi. - Develop and optimize complex Hive queries, including the use of analytical functions for reporting and data transformation. - Create custom UDFs in Hive to handle specific business logic and integration needs. - Ensure efficient data ingestion and movement using Sqoop, Nifi, and Oozie workflows. - Work with various data formats (CSV, TSV, Parquet, ORC, JSON, AVRO) and compression techniques (Gzip, Snappy) to maximize performance and storage. - Monitor and tune performance of YARN and Spark applications for optimal resource utilization. - In depth Knowledge on Architecture of Distributed Systems and Parallel Computing. Internal - Good knowledge in Oracle PL/SQL and shell scripting. - Strong problem-solving and analytical thinking. - Effective communication and documentation skills. - Ability to collaborate across multi-disciplinary teams. - Self-driven with the ability to manage multiple priorities under tight timelines. Job Types: Full-time, Permanent Pay: Up to ₹100,000.00 per year Schedule: Day shift Monday to Friday Work Location: In person

Overview: We are looking for a skilled GCP Data Engineer with 3 to 10 years of real hands-on experience in data ingestion, data engineering, data quality, data governance, and cloud data warehouse implementations using GCP data services. The ideal candidate will be responsible for designing and developing data pipelines, participating in architectural discussions, and implementing data solutions in a cloud environment. Key Responsibilities:  Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs.  Develop and maintain data ingestion frameworks and pipelines from various data sources using GCP services.  Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements.  Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows.  Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services.  Develop and implement data and semantic interoperability specifications.  Work closely with business teams to define and scope requirements.  Analyze existing systems to identify appropriate data sources and drive continuous improvement.  Implement and continuously enhance automation processes for data ingestion and data transformation.  Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines.  Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management. Skills and Qualifications:  Overall 3-10 years of hands-on experience as a Data Engineer, with at least 2-3 years of direct GCP Data Engineering experience.  Strong SQL and Python development skills are mandatory.  Solid experience in data engineering, working with distributed architectures, ETL/ELT, and big data technologies.  Demonstrated knowledge and experience with Google Cloud BigQuery is a must.  Experience with DataProc and Dataflow is highly preferred.  Strong understanding of serverless data warehousing on GCP and familiarity with DWBI modeling frameworks.  Extensive experience in SQL across various database platforms.  Any BI tools Experience is also preferred.  Experience in data mapping and data modeling.  Familiarity with data analytics tools and best practices.  Hands-on experience with one or more programming/scripting languages such as Python, JavaScript, Java, R, or UNIX Shell.  Practical experience with Google Cloud services including but not limited to: o BigQuery, BigTable o Cloud Dataflow, Cloud Dataproc o Cloud Storage, Pub/Sub o Cloud Functions, Cloud Composer o Cloud Spanner, Cloud SQL  Knowledge of modern data mining, cloud computing, and data management tools (such as Hadoop, HDFS, and Spark).  Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker, etc.  Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP.  GCP Data Engineer Certification is highly preferred. Job Type: Full-time Pay: ₹500,298.14 - ₹1,850,039.92 per year Benefits: Health insurance Schedule: Rotational shift Work Location: In person

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations. The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency. Role Overview As a Data Engineering Lead, you will be responsible for overseeing and guiding the data engineering team in developing, optimizing , and maintaining our data infrastructure. You will play a critical role in ensuring the seamless integration and flow of data across the organization, enabling data-driven decision-making and analytics. Key Responsibilities Data Integration: Coordinate with various teams to ensure seamless data integration across the organization's systems. ETL Processes: Develop and implement efficient data transformation and ETL (Extract, Transform, Load) processes. Performance Optimization: Optimize data flow and system performance for enhanced functionality and efficiency. Data Security: Ensure adherence to data security protocols and compliance standards to protect sensitive information. Infrastructure Management: Oversee the development and maintenance of the data infrastructure, ensuring scalability and reliability. Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven initiatives. Innovation: Stay updated with the latest trends and technologies in data engineering and implement best practices. Qualifications Experience: Proven experience in data engineering, with a strong background in leading and managing teams. Technical Skills: Proficiency in programming languages such as Python, Java, and SQL, along with experience in big data technologies like Hadoop, Spark, and Kafka. Data Management: In-depth understanding of data warehousing, data modeling, and database management systems. Analytical Skills: Strong analytical and problem-solving skills with the ability to handle complex data challenges. Communication: Excellent communication and interpersonal skills, capable of working effectively with cross-functional teams. Education: Bachelor's or Master's degree in Computer Science , Engineering, or a related field. Why Join Us? Work on cutting-edge data projects and contribute to the organization's data strategy. Collaborative and innovative work environment that values creativity and continuous learning. If you are a strategic thinker with a passion for data engineering and leadership, we would love to hear from you. Apply now to join our team and make a significant impact on our data-driven journey. #LI-India Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Digital Solutions Consultant I - HYD015Q Company : Worley Primary Location : IND-AP-Hyderabad Job : Digital Solutions Schedule : Full-time Employment Type : Agency Contractor Job Level : Experienced Job Posting : Jun 16, 2025 Unposting Date : Jul 16, 2025 Reporting Manager Title : Senior General Manager : We deliver the world’s most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals, and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. We are looking for a skilled Data Engineer to join our Digital Customer Solutions team. The ideal candidate should have experience in cloud computing and big data technologies. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions that can handle large volumes of data. You will work closely with stakeholders to ensure that the data is accurate, reliable, and easily accessible. Responsibilities: Design, build, and maintain scalable data pipelines that can handle large volumes of data. Document design of proposed solution including structuring data (data modelling applying different techniques including 3-NF and Dimensional modelling) and optimising data for further consumption (working closely with Data Visualization Engineers, Front-end Developers, Data Scientists and ML-Engineers). Develop and maintain ETL processes to extract data from various sources (including sensor, semi-structured and unstructured, as well as structured data stored in traditional databases, file stores or from SOAP and REST data interfaces). Develop data integration patterns for batch and streaming processes, including implementation of incremental loads. Build quick porotypes and prove-of-concepts to validate assumption and prove value of proposed solutions or new cloud-based services. Define Data engineering standards and develop data ingestion/integration frameworks. Participate in code reviews and ensure all solutions are lined to architectural and requirement specifications. Develop and maintain cloud-based infrastructure to support data processing using Azure Data Services (ADF, ADLS, Synapse, Azure SQL DB, Cosmos DB). Develop and maintain automated data quality pipelines. Collaborate with cross-functional teams to identify opportunities for process improvement. Manage a team of Data Engineers. About You To be considered for this role it is envisaged you will possess the following attributes: Bachelor’s degree in Computer Science or related field. 7+ years of experience in big data technologies such as Hadoop, Spark, Hive & Delta Lake. 7+ years of experience in cloud computing platforms such as Azure, AWS or GCP. Experience in working in cloud Data Platforms, including deep understanding of scaled data solutions. Experience in working with different data integration patterns (batch and streaming), implementing incremental data loads. Proficient in scripting in Java, Windows and PowerShell. Proficient in at least one programming language like Python, Scala. Expert in SQL. Proficient in working with data services like ADLS, Azure SQL DB, Azure Synapse, Snowflake, No-SQL (e.g. Cosmos DB, Mongo DB), Azure Data Factory, Databricks or similar on AWS/GCP. Experience in using ETL tools (like Informatica IICS Data integration) is an advantage. Strong understanding of Data Quality principles and experience in implementing those. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

Job requisition ID :: 84234 Date: Jun 15, 2025 Location: Delhi Designation: Senior Consultant Entity: What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do As a Senior Consultant in our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll: We are seeking a highly skilled Senior AWS DevOps Engineer with 6-10 years of experience to lead the design, implementation, and optimization of AWS cloud infrastructure, CI/CD pipelines, and automation processes. The ideal candidate will have in-depth expertise in Terraform, Docker, Kubernetes, and Big Data technologies such as Hadoop and Spark. You will be responsible for overseeing the end-to-end deployment process, ensuring the scalability, security, and performance of cloud systems, and mentoring junior engineers. Overview: We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Exp- 2 to 7 years Location- Bangalore, Chennai, Coimbatore, Delhi, Mumbai, Bhubaneswar. Key Responsibilities: 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Required Qualifications: 1. bachelor’s degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions Big Data: Hadoop, Spark, Delta Lake Programming: Python, PySpark Databases: SQL, PostgreSQL, NoSQL Data Warehousing and Analytics ETL/ELT processes Data Lake architectures Version control: Github Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Senior Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

Job requisition ID :: 84245 Date: Jun 15, 2025 Location: Delhi Designation: Consultant Entity: What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice Work you’ll do As a Senior Consultant in our Consulting team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll: We are seeking a highly skilled Senior AWS DevOps Engineer with 6-10 years of experience to lead the design, implementation, and optimization of AWS cloud infrastructure, CI/CD pipelines, and automation processes. The ideal candidate will have in-depth expertise in Terraform, Docker, Kubernetes, and Big Data technologies such as Hadoop and Spark. You will be responsible for overseeing the end-to-end deployment process, ensuring the scalability, security, and performance of cloud systems, and mentoring junior engineers. Overview: We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages. Exp- 2 to 7 years Location- Bangalore, Chennai, Coimbatore, Delhi, Mumbai, Bhubaneswar. Key Responsibilities: 1. Design and implement scalable, high-performance data pipelines using AWS services 2. Develop and optimize ETL processes using AWS Glue, EMR, and Lambda 3. Build and maintain data lakes using S3 and Delta Lake 4. Create and manage analytics solutions using Amazon Athena and Redshift 5. Design and implement database solutions using Aurora, RDS, and DynamoDB 6. Develop serverless workflows using AWS Step Functions 7. Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL 8. Ensure data quality, security, and compliance with industry standards 9. Collaborate with data scientists and analysts to support their data needs 10. Optimize data architecture for performance and cost-efficiency 11. Troubleshoot and resolve data pipeline and infrastructure issues Required Qualifications: 1. bachelor’s degree in computer science, Information Technology, or related field 2. Relevant years of experience as a Data Engineer, with at least 60% of experience focusing on AWS 3. Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3 4. Experience with data lake technologies, particularly Delta Lake 5. Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL 6. Proficiency in Python and PySpark programming 7. Strong SQL skills and experience with PostgreSQL 8. Experience with AWS Step Functions for workflow orchestration Technical Skills: AWS Services: Glue, EMR, Lambda, Athena, Redshift, S3, Aurora, RDS, DynamoDB , Step Functions Big Data: Hadoop, Spark, Delta Lake Programming: Python, PySpark Databases: SQL, PostgreSQL, NoSQL Data Warehousing and Analytics ETL/ELT processes Data Lake architectures Version control: Github Your role as a leader At Deloitte India, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. In addition to living our purpose, Senior Consultant across our organization: Develop high-performing people and teams through challenging and meaningful opportunities Deliver exceptional client service; maximize results and drive high performance from people while fostering collaboration across businesses and borders Influence clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people Understand key objectives for clients and Deloitte; align people to objectives and set priorities and direction. Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make How you will grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) Experience in building NLP solutions and/or GEN AI are strongly preferred Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. Team player with strong relationship building, management and influencing skills Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

Experience: 3 to 4 Years Y Location: Mumbai, Maharashtra India Openings: 2 Job description: Key responsibilities: Apply design and data analysis techniques to organize the presentation of data in innovative ways, collaborate with research analysts to identify the best means of visually depicting a story Design and Develop custom dashboard solutions, as well as re-usable data visualization templates Analyze data, and identify trends and discover insights that will guide strategic leadership decisions On daily practise use JavaScript, Tableau, QlikView, QlikSense, SAS Visual Analytics, PowerBI, Dashboard design/development. Desired Qualifications: M.sc or PhD in corresponding fields; Hands-on experience of programming languages (e.g., Python, Java, Scala) and/ or Big Data systems (like Hadoop, Spark, Storm); Experience with Linux, Unix shell scripting, noSQL, Machine Learning; Knowledge and experience with cloud environments like AWS/Azure/GCP; Knowledge of Scrum, Agile. Requirement: Required Qualifications: Experience with visual reports and dynamic dashboards design and development on platforms like Tableau, Qlik, PowerBI, SAS, or CRM Analytics. Experience with SQL, ETL, data warehousing, BI. Knowledge of Big Data. Strong verbal and written communication skills in English. Benefits: Competitive salary 2625 – 4500 EUR gross Flexible vacation + health & travel insurance + relocation Work from home, flexible working hours Work with Fortune 500 companies from different industries all over the world Skills development and training opportunities, company-paid certifications Opportunities to advance career An open-minded and inclusive company culture Role: Visualization Expert Department: UI/UX Education: Bachelor’s Degree from Computer Science, Statistics, Applied Mathematics, or another related field

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Job Description We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions. As a Data Scientist, you will focus on consolidating and analysing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in machine learning, especially in the Natural Language Processing. Responsibilities: Design, develop, and deploy Machine Learning models. Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems. Leverage Large Language Models (LLMs) to build GenAI capabilities to drive business impact. Create insightful data visualisations, technical reports, and presentations to communicate findings to technical and non-technical audiences. Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement. Requirements: BS, MS, or Ph.D. in Computer Science, Statistics, or a related field. 2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization. Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs. Expertise in NLP techniques like Named Entity Recognition, Information Retrieval, Text classification, Text-to-Text Generation etc. Familiarity and working experience of GenAI applications, Experience with prompting, fine-tuning and optimizing LLMs. Knowledge of recent advancements and trends in GenAI, demonstrating a commitment to continuous learning in this rapidly evolving field. Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain, vLLM etc. Strong programming skills in Python and/or Java. Experience in SQL, Pandas, and PySpark for efficient data manipulation. Familiarity with microservice architectures, CI/CD, MLOps best practices. Strong communication, problem-solving, and analytical skills; a collaborative team player. Nice to Have: Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch. Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR). Prior experience applying AI/ML to cybersecurity use cases. Basic proficiency in Unix/Linux environments for scripting and automation.

We deliver the world’s most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals, and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. We are looking for a skilled Data Engineer to join our Digital Customer Solutions team. The ideal candidate should have experience in cloud computing and big data technologies. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions that can handle large volumes of data. You will work closely with stakeholders to ensure that the data is accurate, reliable, and easily accessible. Responsibilities Design, build, and maintain scalable data pipelines that can handle large volumes of data. Document design of proposed solution including structuring data (data modelling applying different techniques including 3-NF and Dimensional modelling) and optimising data for further consumption (working closely with Data Visualization Engineers, Front-end Developers, Data Scientists and ML-Engineers). Develop and maintain ETL processes to extract data from various sources (including sensor, semi-structured and unstructured, as well as structured data stored in traditional databases, file stores or from SOAP and REST data interfaces). Develop data integration patterns for batch and streaming processes, including implementation of incremental loads. Build quick porotypes and prove-of-concepts to validate assumption and prove value of proposed solutions or new cloud-based services. Define Data engineering standards and develop data ingestion/integration frameworks. Participate in code reviews and ensure all solutions are lined to architectural and requirement specifications. Develop and maintain cloud-based infrastructure to support data processing using Azure Data Services (ADF, ADLS, Synapse, Azure SQL DB, Cosmos DB). Develop and maintain automated data quality pipelines. Collaborate with cross-functional teams to identify opportunities for process improvement. Manage a team of Data Engineers. About You To be considered for this role it is envisaged you will possess the following attributes: Bachelor’s degree in Computer Science or related field. 7+ years of experience in big data technologies such as Hadoop, Spark, Hive & Delta Lake. 7+ years of experience in cloud computing platforms such as Azure, AWS or GCP. Experience in working in cloud Data Platforms, including deep understanding of scaled data solutions. Experience in working with different data integration patterns (batch and streaming), implementing incremental data loads. Proficient in scripting in Java, Windows and PowerShell. Proficient in at least one programming language like Python, Scala. Expert in SQL. Proficient in working with data services like ADLS, Azure SQL DB, Azure Synapse, Snowflake, No-SQL (e.g. Cosmos DB, Mongo DB), Azure Data Factory, Databricks or similar on AWS/GCP. Experience in using ETL tools (like Informatica IICS Data integration) is an advantage. Strong understanding of Data Quality principles and experience in implementing those. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-AP-Hyderabad Job Digital Solutions Schedule Full-time Employment Type Agency Contractor Job Level Experienced Job Posting Jun 16, 2025 Unposting Date Jul 16, 2025 Reporting Manager Title Senior General Manager Show more Show less

Overview: The Technology Solution Delivery - Front Line Manager (M1) is responsible for providing leadership and day-to-day direction to a cross functional engineering team. This role involves establishing and executing operational plans, managing relationships with internal and external customers, and overseeing technical fulfillment projects. The manager also supports sales verticals in customer interactions and ensures the delivery of technology solutions aligns with business needs. What you will do: Build strong relationships with both internal and external stakeholders including product, business and sales partners. Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters. Mentor, coach and develop junior and senior software, quality and reliability engineers. Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs. Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activities Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate Provides coaching, leadership and talent development; ensures teams functions as a high-performing team; able to identify performance gaps and opportunities for upskilling and transition when necessary. Drives culture of accountability through actions and stakeholder engagement and expectation management Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems Identify and resolve problems affecting day-to-day operations Set priorities for the engineering team and coordinate work activities with other supervisors Cloud Certification Strongly Preferred What experience you need: BS or MS degree in a STEM major or equivalent job experience required 10+ years’ experience in software development and delivery You adore working in a fast paced and agile development environment You possess excellent communication, sharp analytical abilities, and proven design skills You have detailed knowledge of modern software development lifecycles including CI / CD You have the ability to operate across a broad and complex business unit with multiple stakeholders You have an understanding of the key aspects of finance especially as related to Technology. Specifically including total cost of ownership and value You are a self-starter, highly motivated, and have a real passion for actively learning and researching new methods of work and new technology You possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders What Could Set You Apart UI development (e.g. HTML, JavaScript, AngularJS, Angular4/5 and Bootstrap) Source code control management systems (e.g. SVN/Git, Subversion) and build tools like Maven Big Data, Postgres, Oracle, MySQL, NoSQL databases (e.g. Cassandra, Hadoop, MongoDB, Neo4J) Design patterns Agile environments (e.g. Scrum, XP) Software development best practices such as TDD (e.g. JUnit), automated testing (e.g. Gauge, Cucumber, FitNesse), continuous integration (e.g. Jenkins, GoCD) Linux command line and shell scripting languages Relational databases (e.g. SQL Server, MySQL) Cloud computing, SaaS (Software as a Service) Atlassian tooling (e.g. JIRA, Confluence, and Bitbucket) Experience working in financial services Experience working with open source frameworks; preferably Spring, though we would also consider Ruby, Apache Struts, Symfony, Django, etc. Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Behaviors: Customer-focused with a drive to exceed expectations. Demonstrates integrity and accountability. Intellectually curious and driven to innovate. Values diversity and fosters collaboration. Results-oriented with a sense of urgency and agility. Show more Show less

Experience - 8+ Years Budget - 30 LPA (Including Variable Pay) Location - Bangalore, Hyderabad, Chennai (Hybrid) Shift Timing - 2 PM - 11 PM ETL Development Lead (8+ years) Experience with Leading and mentoring a team of Talend ETL developers. Providing technical direction and guidance on ETL/Data Integration development to the team. Designing complex data integration solutions using Talend & AWS. Collaborating with stakeholders to define project scope, timelines, and deliverables. Contributing to project planning, risk assessment, and mitigation strategies. Ensuring adherence to project timelines and quality standards. Strong understanding of ETL/ELT concepts, data warehousing principles, and database technologies. Design, develop, and implement ETL (Extract, Transform, Load) processes using Talend Studio and other Talend components. Build and maintain robust and scalable data integration solutions to move and transform data between various source and target systems (e.g., databases, data warehouses, cloud applications, APIs, flat files). Develop and optimize Talend jobs, workflows, and data mappings to ensure high performance and data quality. Troubleshoot and resolve issues related to Talend jobs, data pipelines, and integration processes. Collaborate with data analysts, data engineers, and other stakeholders to understand data requirements and translate them into technical solutions. Perform unit testing and participate in system integration testing of ETL processes. Monitor and maintain Talend environments, including job scheduling and performance tuning. Document technical specifications, data flow diagrams, and ETL processes. Stay up-to-date with the latest Talend features, best practices, and industry trends. Participate in code reviews and contribute to the establishment of development standards. Proficiency in using Talend Studio, Talend Administration Center/TMC, and other Talend components. Experience working with various data sources and targets, including relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL), NoSQL databases, AWS cloud platform, APIs (REST, SOAP), and flat files (CSV, TXT). Strong SQL skills for data querying and manipulation. Experience with data profiling, data quality checks, and error handling within ETL processes. Familiarity with job scheduling tools and monitoring frameworks. Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively within a team environment. Basic Understanding of AWS Services i.e. EC2 , S3 , EFS, EBS, IAM , AWS Roles , CloudWatch Logs, VPC, Security Group , Route 53, Network ACLs, Amazon Redshift, Amazon RDS, Amazon Aurora, Amazon DynamoDB. Understanding of AWS Data integration Services i.e. Glue, Data Pipeline, Amazon Athena , AWS Lake Formation, AppFlow, Step Functions Preferred Qualifications: Experience with Leading and mentoring a team of 8+ Talend ETL developers. Experience working with US Healthcare customer.. Bachelor's degree in Computer Science, Information Technology, or a related field. Talend certifications (e.g., Talend Certified Developer), AWS Certified Cloud Practitioner/Data Engineer Associate. Experience with AWS Data & Infrastructure Services.. Basic understanding and functionality for Terraform and Gitlab is required. Experience with scripting languages such as Python or Shell scripting. Experience with agile development methodologies. Understanding of big data technologies (e.g., Hadoop, Spark) and Talend Big Data platform. Job Type: Full-time Pay: ₹2,800,000.00 - ₹3,000,000.00 per year Schedule: Day shift Work Location: In person

A data scientist collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, and communication skills to interpret data and influence decision-making. Key Responsibilities: Gather data from multiple sources and prepare it for analysis. Analyze large volumes of structured and unstructured data to identify trends and patterns. Develop machine learning models and predictive algorithms to solve business problems. Use statistical techniques to validate findings and ensure accuracy. Automate processes using AI tools and programming. Create clear, engaging visualizations and reports to communicate results. Work closely with different teams to apply data-driven insights. Stay updated with the latest tools, technologies, and methods in data science. Tools and Technologies: Programming languages: Python, R, SQL. Data visualization: Tableau, Power BI, matplotlib. Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch. Big data platforms: Apache Hadoop, Spark. Cloud platforms: AWS, Azure, Google Cloud. Statistical tools: SAS, SPSS. Job Type: Full-time Pay: ₹9,938.89 - ₹30,790.14 per month Schedule: Day shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Application Question(s): Are you a immediate joiner? Location: Trichinapalli, Tamil Nadu (Preferred) Work Location: In person Application Deadline: 19/06/2025 Expected Start Date: 19/06/2025

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects. Should exhibit deep experience in FinCrime solutions during the client discussions and be able to convince the client about the solution. Lead and manage a team of technology consultants to be able to deliver large technology programs in the capacity of project manager. Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities. Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules. Prior experience in one of more COTS such as Norkom, Actimize, NetReveal, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators. Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed. Willing to travel to the customers locations on need basis. Mandatory skills: Technical: Application and Solution (workflow, interface) technical design Business requirements, definition, analysis, and mapping SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Hands of prior experience on NetReveal modules development Experience in product migration, implementation - preferably been part of at least 1 AML implementations. Experience in Cloud and CI/CD (Devops Automation environment) Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams. Functional : Thorough knowledge of the KYC process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PEP - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Experience in requirements gathering, documentation and gap analysis in OOTB (out of the box) vs custom features. Agile (Scrum or Kanban) Methodology Exposure in conducting or participating in product demonstration, training, and assessment studies. Analytical thinking in finding out of the box solutions with an ability to provide customization approach and configuration mapping. Excellent client-facing skills Should be able to review the test cases and guide the testing team on need basis. End to End product implementation and transformation experience is desirable. Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 8 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Are you our “TYPE”? Monotype (Global) Named "One of the Most Innovative Companies in Design" by Fast Company, Monotype brings brands to life through type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman and more. Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences. Monotype Solutions India Monotype Solutions India is a strategic center of excellence for Monotype and is a certified Great Place to Work® three years in a row. The focus of this fast-growing center spans Product Development, Product Management, Experience Design, User Research, Market Intelligence, Research in areas of Artificial Intelligence and Machine learning, Innovation, Customer Success, Enterprise Business Solutions, and Sales. Headquartered in the Boston area of the United States and with offices across 4 continents, Monotype is the world’s leading company in fonts. It’s a trusted partner to the world’s top brands and was named “One of the Most Innovative Companies in Design” by Fast Company. Monotype brings brands to life through the type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman, and more. Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences. About the role We are looking for problem solvers to help us build next-generation features, products, and services. You will work closely with a cross-functional team of engineers on microservices and event-driven architectures. You are expected to contribute to the architecture, design, and development of new features, identify technical risks and find alternate solutions to various problems. In addition, the role also demands to lead, motivate & mentor other team members with respect to technical challenges. You will have an opportunity to: Work in a scrum team to design and build high-quality customer-facing software. Provide hands on technical leadership, mentoring and ensure a great user experience. Write unit, functional and end-to-end tests using mocha, chai, sinon, karateJS & codeceptJS. Help design our architecture and set code standards for ReactJS & NodeJS development. Gain product knowledge by successfully developing features for our applications. Communicate effectively with stakeholders, peers, and others. What we’re looking for: 8-10 years of development experience developing complex, scalable web-based applications. Experienced in test driven development, continuous integration, and continuous delivery. Min 6+ years of extensive MERN/MEVN (MongoDB, ExpressJS, ReactJS/VueJS and NodeJS) stack hands-on development experience. NodeJS primary with either ReactJS/VueJS/ExpressJS exposure. Experience in Electron, C++ and/or Objective C Possess good problem solving and analytical skills. Hands-on in designing and defining database schema using RDBMS and NoSQL databases. Experience in working in Agile development environment. Experience with web services, REST API and micro services. Experience with Amazon AWS services & real time data analytics technology (Hadoop, Spark, Kinesis, etc.) Experience with GIT, bitbucket, or GitHub and the Features branching workflow. Awesome Written and Oral communication skills and ability to work in a global and distributed environment with agility to mold communication for different audiences. Knowledge or experience with Github co-pilot. Monotype is an Equal Opportunities Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. How will you make an impact in this role? Build NextGen Data Strategy, Data Virtualization, Data Lakes Warehousing Transform and improve performance of existing reporting & analytics use cases with more efficient and state of the art data engineering solutions. Analytics Development to realize advanced analytics vision and strategy in a scalable, iterative manner. Deliver software that provides superior user experiences, linking customer needs and business drivers together through innovative product engineering. Cultivate an environment of Engineering excellence and continuous improvement, leading changes that drive efficiencies into existing Engineering and delivery processes. Own accountability for all quality aspects and metrics of product portfolio, including system performance, platform availability, operational efficiency, risk management, information security, data management and cost effectiveness. Work with key stakeholders to drive Software solutions that align to strategic roadmaps, prioritized initiatives and strategic Technology directions. Work with peers, staff engineers and staff architects to assimilate new technology and delivery methods into scalable software solutions. Minimum Qualifications: Bachelor’s degree in computer science, Computer Science Engineering, or related field required; Advanced Degree preferred. 5+ years of hands-on experience in implementing large data-warehousing projects, strong knowledge of latest NextGen BI & Data Strategy & BI Tools Proven experience in Business Intelligence, Reporting on large datasets, Data Virtualization Tools, Big Data, GCP, JAVA, Microservices Strong systems integration architecture skills and a high degree of technical expertise, ranging across a number of technologies with a proven track record of turning new technologies into business solutions. Should be good in one programming language python/Java. Should have good understanding of data structures. GCP /cloud knowledge has added advantage. PowerBI, Tableau and looker good knowledge and understanding. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. Experience managing in a fast paced, complex, and dynamic global environment. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. Preferred Qualifications: Bachelor’s degree in computer science, Computer Science Engineering, or related field required; Advanced Degree preferred. 5+ years of hands-on experience in implementing large data-warehousing projects, strong knowledge of latest NextGen BI & Data Strategy & BI Tools Proven experience in Business Intelligence, Reporting on large datasets, Oracle Business Intelligence (OBIEE), Tableau, MicroStrategy, Data Virtualization Tools, Oracle PL/SQL, Informatica, Other ETL Tools like Talend, Java Should be good in one programming language python/Java. Should be good data structures and reasoning. GCP knowledge has added advantage or cloud knowledge. PowerBI, Tableau and looker good knowledge and understanding. Strong systems integration architecture skills and a high degree of technical expertise, ranging across several technologies with a proven track record of turning new technologies into business solutions. Outstanding influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross communication process. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects. Should exhibit deep experience in FinCrime solutions during the client discussions and be able to convince the client about the solution. Lead and manage a team of technology consultants to be able to deliver large technology programs in the capacity of project manager. Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities. Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules. Prior experience in one of more COTS such as Norkom, Actimize, NetReveal, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators. Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed. Willing to travel to the customers locations on need basis. Mandatory skills: Technical: Application and Solution (workflow, interface) technical design Business requirements, definition, analysis, and mapping SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Hands of prior experience on NetReveal modules development Experience in product migration, implementation - preferably been part of at least 1 AML implementations. Experience in Cloud and CI/CD (Devops Automation environment) Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams. Functional : Thorough knowledge of the KYC process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PEP - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Experience in requirements gathering, documentation and gap analysis in OOTB (out of the box) vs custom features. Agile (Scrum or Kanban) Methodology Exposure in conducting or participating in product demonstration, training, and assessment studies. Analytical thinking in finding out of the box solutions with an ability to provide customization approach and configuration mapping. Excellent client-facing skills Should be able to review the test cases and guide the testing team on need basis. End to End product implementation and transformation experience is desirable. Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 8 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job purpose: Need to work as a Senior Technology Consultant in FinCrime solutions modernisation and transformation projects. Should exhibit deep experience in FinCrime solutions during the client discussions and be able to convince the client about the solution. Lead and manage a team of technology consultants to be able to deliver large technology programs in the capacity of project manager. Work Experience Requirements Understand high-level business requirements and relate them to appropriate AML / FinCrime product capabilities. Define and validate customisation needs for AML products as per client requirements. Review client processes and workflows and make recommendations to the client to maximise benefits from the AML Product. Show in-depth knowledge on best banking practices and AML product modules. Prior experience in one of more COTS such as Norkom, Actimize, NetReveal, SAS AML VI/VIA, fircosoft or Quantexa Your client responsibilities: Need to work as a Technical Business Systems Analyst in one or more FinCrime projects. Interface and communicate with the onsite coordinators. Completion of assigned tasks on time and regular status reporting to the lead Regular status reporting to the Manager and onsite coordinators Interface with the customer representatives as and when needed. Willing to travel to the customers locations on need basis. Mandatory skills: Technical: Application and Solution (workflow, interface) technical design Business requirements, definition, analysis, and mapping SQL and Understanding of Bigdata tech such as Spark, Hadoop, or Elasticsearch Scripting/ Programming: At least one programming/scripting language amongst Python, Java or Unix Shell Script Hands of prior experience on NetReveal modules development Experience in product migration, implementation - preferably been part of at least 1 AML implementations. Experience in Cloud and CI/CD (Devops Automation environment) Should Posses high-level understanding of infrastructure designs, data model and application/business architecture. Act as the Subject Matter Expert (SME) and possess an excellent functional/operational knowledge of the activities performed by the various teams. Functional : Thorough knowledge of the KYC process Thorough knowledge on Transaction monitoring and scenarios Should have developed one or more modules worked on KYC - know your customer, CDD- customer due diligence, EDD - enhanced due diligence, sanction screening, PEP - politically exposed person, adverse media screening, TM- transaction monitoring, CM- Case Management. Thorough knowledge of case management workflows Experience in requirements gathering, documentation and gap analysis in OOTB (out of the box) vs custom features. Agile (Scrum or Kanban) Methodology Exposure in conducting or participating in product demonstration, training, and assessment studies. Analytical thinking in finding out of the box solutions with an ability to provide customization approach and configuration mapping. Excellent client-facing skills Should be able to review the test cases and guide the testing team on need basis. End to End product implementation and transformation experience is desirable. Education And Experience – Mandatory MBA/ MCA/ BE/ BTech or equivalent with banking industry experience of 3 to 8 years EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Role Expectations: Data Collection and Cleaning: Collect, organize, and clean large datasets from various sources (internal databases, external APIs, spreadsheets, etc.). Ensure data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Conduct statistical analysis to support decision-making and uncover insights. Use analytical methods to identify opportunities for process improvements, cost reductions, and efficiency enhancements. Reporting and Visualization: Create and maintain clear, actionable, and accurate reports and dashboards for both technical and non-technical stakeholders. Design data visualizations (charts, graphs, and tables) that communicate findings effectively to decision-makers. Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience in generating the Descriptive , Predictive & prescriptive Insights with Gen AI using MS Copilot in PowerBI. Experience in Prompt Engineering & RAG Architectures Prepare reports for upper management and other departments, presenting key findings and recommendations. Collaboration: Work closely with cross-functional teams (marketing, finance, operations, etc.) to understand their data needs and provide actionable insights. Collaborate with IT and database administrators to ensure data is accessible and well-structured. Provide support and guidance to other teams regarding data-related questions or issues. Data Integrity and Security: Ensure compliance with data privacy and security policies and practices. Maintain data integrity and assist with implementing best practices for data storage and access. Continuous Improvement: Stay current with emerging data analysis techniques, tools, and industry trends. Recommend improvements to data collection, processing, and analysis procedures to enhance operational efficiency. Qualifications: Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Master's degree or relevant certifications (e.g., in data analysis, business intelligence) is a plus. Experience: Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong knowledge of SQL and experience with relational databases. Familiarity with data manipulation and analysis tools (e.g., Python, R, Excel, SPSS). Worked on PowerBI , Tableau and Pythoin Libraries for Data visualization like matplotlib , seaborn , plotly , Pyplot , pandas etc Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Technical Skills: Proficiency in SQL and data query languages. Knowledge of statistical analysis and methodologies. Experience with data visualization and reporting tools. Knowledge of data cleaning and transformation techniques. Familiarity with machine learning and AI concepts is an advantage (for more advanced roles). Soft Skills: Strong analytical and problem-solving abilities. Excellent attention to detail and ability to identify trends in complex data sets. Good communication skills to present data insights clearly to both technical and non-technical audiences. Ability to work independently and as part of a team. Strong time management and organizational skills, with the ability to prioritize tasks effectively. Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Preferred Education Master's Degree Required Technical And Professional Expertise Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred Technical And Professional Experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred Technical And Professional Experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Preferred Education Master's Degree Required Technical And Professional Expertise Experience with Apache Spark (PySpark): In-depth knowledge of Spark’s architecture, core APIs, and PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Strong proficiency in Python: Expertise in Python programming with a focus on data processing and manipulation. Data Processing Frameworks: Knowledge of data processing libraries such as Pandas, NumPy. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or GCP, including using cloud storage systems Preferred Technical And Professional Experience Define, drive, and implement an architecture strategy and standards for end-to-end monitoring. Partner with the rest of the technology teams including application development, enterprise architecture, testing services, network engineering, Good to have detection and prevention tools for Company products and Platform and customer-facing Show more Show less