1103 Dataflow Jobs - Page 18

Job description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Marketing Title. In this role, you will: Responsible for performing system development work around ETL, which can include both the development of new function and facilities, and the on-going systems support of live systems. Responsible for the documentation, coding, and maintenance of new and existing Extract, Transform, and Load (ETL) processes within the Enterprise Data Warehouse. Investigate live systems faults, diagnose problems, and propose and provide solutions. Work closely with various teams to design, build, test, deploy and maintain insightful MI reports. Support System Acceptance Testing, System Integration and Regression Testing. Identify any issues that may arise to delivery risk, formulate preventive actions or corrective measures, and timely escalate major project risks & issues to service owner. Execute test cases and log defects. Should be proactive in understanding the existing system, identifying areas for improvement, and taking ownership of assigned tasks. Ability to work independently with minimal supervision while ensuring timely delivery of tasks. Requirements To be successful in this role, you should meet the following requirements : 4-6 years of experience in Data Warehousing specialized in ETL. Given the current team is highly technical in nature, the expectation is that the candidate has experience in technologies like DataStage, Teradata Vantage, Unix Scripting and scheduling using Control-M and DevOps tools. Candidate should possess good knowledge on SQL and demonstrate the ability to write efficient and optimized queries effectively. Hands on experience or knowledge on GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Cloud spanner, Cloud SQL would be an added advantage. Hands-on experience with Unix, Git and Jenkins and would be added advantage. This individual should be able to develop and implement solutions on both on-prem and google cloud platform (GCP). Conducting migration, where necessary, to bring tools and other elements into the cloud and software upgrades. Should have proficiency in using JIRA and Confluence and experienced in working in projects that have followed Agile methodologies. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

What makes Techjays an inspiring place to work: At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are seeking a Senior Data & AI/ML Engineer with deep expertise in GCP, who will not only build intelligent and scalable data solutions but also champion our internal capability building and partner-level excellence. This is a high-impact role for a seasoned engineer who thrives in designing GCP-native AI/ML-enabled data platforms. You’ll play a dual role as a hands-on technical lead and a strategic enabler, helping drive our Google Cloud Data & AI/ML specialization track forward through successful implementations, reusable assets, and internal skill development. Prefferred Qualifications: GCP Professional Certifications : Data Engineer or Machine Learning Engineer. Experience contributing to a GCP Partner specialization journey. Familiarity with Looker, Data Catalog, Dataform , or other GCP data ecosystem tools. Knowledge of data privacy, model explainability , and AI governance is a plus. Primary Skills (Must-Have): GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow Programming : Python & SQL MLOps: CI/CD for ML, Model deployment & monitoring Infrastructure-as-Code: Terraform Data Engineering: ETL/ELT, real-time & batch pipelines AI/ML Tools: TensorFlow, scikit-learn, XGBoos Secondary Skills (Good-to-Have): GCP Certifications: Professional Data Engineer or ML Engineer Data Tools : Looker, Dataform, Data Catalog AI Governance: Model explainability, privacy, compliance (e.g., GDPR, fairness) GCP Partner Experience : Prior involvement in specialization journey or partner enablement Work Location: Coimbatore Key Responsibilities Data & AI/ML Architecture Design and implement data architectures for real-time and batch pipelines , leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI , and Cloud Storage . Lead the development of ML pipelines , from feature engineering to model training and deployment using Vertex AI , AI Platform , and Kubeflow Pipelines . Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions , CI/CD , and Model Registry . Define and implement data governance, lineage, monitoring , and quality frameworks . Google Cloud Partner Enablement Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions . Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP. Contribute to building repeatable solution accelerators in Data & AI/ML. Work with the leadership team to align with Google Cloud Partner Program metrics . Team Development Mentor engineers and data scientists toward achieving GCP certifications , especially in Data Engineering and Machine Learning . Organize and lead internal GCP AI/ML enablement sessions . Represent the company in Google partner ecosystem events , tech talks, and joint GTM engagements. What we offer Best-in-class packages. Paid holidays and flexible time-off policies. Casual dress code and a flexible working environment. Opportunities for professional development in an engaging, fast-paced environment. Medical insurance covering self and family up to 4 lakhs per person. Diverse and multicultural work environment. Be part of an innovation-driven culture with ample support and resources to succeed.

Location: Gurgaon (Hybrid/On-site) Department: Data Engineering Reports To: Project Manager / Client Stakeholders Type: Full-Time About The Client Client is a leading data and AI/ML solutions provider, partnering with organizations across India and Australia to drive business transformation through data-driven insights. With a decade-long legacy and collaborations with technology leaders like AWS, Snowflake, Google Cloud Platform (GCP), and Databricks, BluePi delivers custom solutions that help enterprises achieve higher maturity and business outcomes. Role Overview As a Technical Lead – Data Engineer, you will play a pivotal role in designing, developing, and leading complex data projects on Google Cloud Platform and other modern data stacks. You will partner with cross-functional teams, drive architectural decisions, and ensure the delivery of scalable, high-performance data solutions aligned with business goals. Key Responsibilities Lead the design, development, and implementation of robust data pipelines, data warehouses, and cloud-based architectures. Collaborate with business and technical teams to identify problems, define methodologies, and deliver end-to-end data solutions. Own project modules, ensuring complete accountability for scope, design, and delivery. Develop technical roadmaps and architectural vision for data projects, making critical decisions on technology selection, design patterns, and implementation. Implement and optimize data governance frameworks on GCP. Integrate GCP data services (BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI Studio, GenAI) with platforms like Snowflake. Write efficient, production-grade code in Python, SQL, and ETL/orchestration tools. Utilize containerized solutions (Google Kubernetes Engine) for scalable deployments. Apply expertise in PySpark (batch and real-time), Kafka, and advanced data querying for high-volume, distributed data environments. Monitor, optimize, and troubleshoot system performance, ensuring parallelism, concurrency, and resilience. Reduce job run-times and resource utilization through architecture optimization. Develop and optimize data warehouses, including schema design and data modeling. Mentor team members, contribute as an individual contributor, and ensure successful project delivery. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Extensive hands-on experience with Google Cloud Platform data services (BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI Studio, GenAI). Proven experience with Snowflake integration and data governance on GCP. Strong programming skills in Python, SQL, ETL, and orchestration tools. Proficiency in PySpark (batch and real-time), Kafka, and data querying tools. Experience with containerized solutions using Google Kubernetes Engine. Demonstrated ability to work with large, distributed datasets, optimizing for performance and scalability. Excellent communication skills for effective collaboration with internal teams and client stakeholders. Strong documentation skills, including the ability to articulate design and business objectives. Ability to balance short-term deliverables with long-term technical sustainability. Experience with AWS, Databricks, and other cloud data platforms. Prior leadership experience in data engineering teams. Exposure to AI/ML solution delivery in enterprise settings. Why Join Opportunity to lead high-impact data projects for a reputed client in a fast-growing data consulting environment. Work with cutting-edge technologies and global enterprise clients. Collaborative, innovative, and growth-oriented culture. Skills: cloud,dataflow,design,python,sql,snowflake,data,dataproc,google cloud,etl,orchestration tools,bigquery,cloud composer,pyspark,gcp,google kubernetes engine,genai,vertex ai studio,google cloud platform,kafka,data querying tools

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist In this role, you will: Design and Develop ETL Processes: Lead the design and implementation of ETL processes using all kinds of batch/streaming tools to extract, transform, and load data from various sources into GCP. Collaborate with stakeholders to gather requirements and ensure that ETL solutions meet business needs. Data Pipeline Optimization: Optimize data pipelines for performance, scalability, and reliability, ensuring efficient data processing workflows. Monitor and troubleshoot ETL processes, proactively addressing issues and bottlenecks. Data Integration and Management: Integrate data from diverse sources, including databases, APIs, and flat files, ensuring data quality and consistency. Manage and maintain data storage solutions in GCP (e.g., BigQuery, Cloud Storage) to support analytics and reporting. GCP Dataflow Development: Write Apache Beam based Dataflow Job for data extraction, transformation, and analysis, ensuring optimal performance and accuracy. Collaborate with data analysts and data scientists to prepare data for analysis and reporting. Automation and Monitoring: Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer, enhancing efficiency and reducing manual intervention. Set up monitoring and alerting mechanisms to ensure the health of data pipelines and compliance with SLAs. Data Governance and Security: Apply best practices for data governance, ensuring compliance with industry regulations (e.g., GDPR, HIPAA) and internal policies. Collaborate with security teams to implement data protection measures and address vulnerabilities. Documentation and Knowledge Sharing: Document ETL processes, data models, and architecture to facilitate knowledge sharing and onboarding of new team members. Conduct training sessions and workshops to share expertise and promote best practices within the team. Requirements To be successful in this role, you should meet the following requirements: Experience: Minimum of 5 years of industry experience in data engineering or ETL development, with a strong focus on Data Stage and GCP. Proven experience in designing and managing ETL solutions, including data modeling, data warehousing, and SQL development. Technical Skills: Strong knowledge of GCP services (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub) and their application in data engineering. Experience of cloud-based solutions, especially in GCP, cloud certified candidate is preferred. Experience and knowledge of Bigdata data processing in batch mode and streaming mode, proficient in Bigdata eco systems, e.g. Hadoop, HBase, Hive, MapReduce, Kafka, Flink, Spark, etc. Familiarity with Java & Python for data manipulation on Cloud/Bigdata platform. Analytical Skills: Strong problem-solving skills with a keen attention to detail. Ability to analyze complex data sets and derive meaningful insights. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Marketing Title. In this role, you will: Responsible for performing system development work around ETL, which can include both the development of new function and facilities, and the on-going systems support of live systems. Responsible for the documentation, coding, and maintenance of new and existing Extract, Transform, and Load (ETL) processes within the Enterprise Data Warehouse. Investigate live systems faults, diagnose problems, and propose and provide solutions. Work closely with various teams to design, build, test, deploy and maintain insightful MI reports. Support System Acceptance Testing, System Integration and Regression Testing. Identify any issues that may arise to delivery risk, formulate preventive actions or corrective measures, and timely escalate major project risks & issues to service owner. Execute test cases and log defects. Should be proactive in understanding the existing system, identifying areas for improvement, and taking ownership of assigned tasks. Ability to work independently with minimal supervision while ensuring timely delivery of tasks. Requirements To be successful in this role, you should meet the following requirements : 4-6 years of experience in Data Warehousing specialized in ETL. Given the current team is highly technical in nature, the expectation is that the candidate has experience in technologies like DataStage, Teradata Vantage, Unix Scripting and scheduling using Control-M and DevOps tools. Candidate should possess good knowledge on SQL and demonstrate the ability to write efficient and optimized queries effectively. Hands on experience or knowledge on GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Cloud spanner, Cloud SQL would be an added advantage. Hands-on experience with Unix, Git and Jenkins and would be added advantage. This individual should be able to develop and implement solutions on both on-prem and google cloud platform (GCP). Conducting migration, where necessary, to bring tools and other elements into the cloud and software upgrades. Should have proficiency in using JIRA and Confluence and experienced in working in projects that have followed Agile methodologies. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Title: Nursing/Health Care Assistant Location: Oman Employment Type: Full-Time (rotational shifts, weekend availability) Salary: 250 to 300 OMR per month Reports To: RNs / LPNs / Nurse Manager Job Summary We are seeking a compassionate and dedicated Nursing/Health Care Assistant to support our nursing and rehabilitation team in delivering exceptional patient care. Under the supervision of RNs/LPNs, you will assist with daily living activities, monitor vital signs, maintain hygiene and safety, support therapy sessions, manage feeding and incontinence, perform light housekeeping, and assist with admissions, transfers, and transportation. Key Responsibilities 1. Personal Care & Activities of Daily Living Assist patients with bathing, grooming, dressing, toileting, and incontinence care. Support mobility: transfers, ambulation, positioning, turning to prevent bedsores, and range-of-motion exercises. Provide tube feeding and feeding assistance when necessary. 2. Observation & Monitoring Measure and record vital signs (BP, pulse, temperature, respiration) and intake/output per shift. Observe and document changes in behaviour, mood, physical condition, or signs of distress/aggression, and report promptly. Assist in restraining patients as per rehabilitation protocols. 3. Therapeutic Support Aid physiotherapists and participate in group or individual therapy sessions. Escort patients in emergency and non-emergency situations within the facility or to outpatient (OPD) appointments and events. 4. Medical & Equipment Care Support light medical tasks under supervision (e.g., non‑sterile dressings, routine equipment/supply care). Perform inventory checks and ensure medical supplies/equipment are organized and functional. 5. Environment & Safety Ensure patient rooms are clean and hygienic: change linens, sanitize equipment, tidy rooms. Maintain infection control, follow health & safety protocols, and supervise patients to prevent falls or harm. 6. Admissions, Transfers & Documentation Assist with patient admissions, transfers, and discharges. Accurately record care activities, observations, vitals, feeding, and output in patient charts. 7. Emotional & Companionship Support Provide compassionate companionship, basic patient education, and emotional support. Qualifications & Skills ANM diploma (2‑year) or CNA/Healthcare Assistant certification. 1–3 years minimum healthcare or GNM/BSc or relevant qualification; 3+ years preferred. CPR/BLS certification advantageous. Valid Dataflow clearance (for international candidates). Strong interpersonal, communication, empathy, and confidentiality skills. Physically able to lift up to ~50 lbs, stand for long periods, and perform patient transfers. Working Hours & Benefits Schedule : Rotational shifts; weekend availability. Benefits : Free Joining Ticket (Will be reimbursed after the 3 months’ Probation period) 30 Days paid Annual leave after 1 year of service completion Yearly Up and Down Air Ticket Medical Insurance Life Insurance Accommodation (Chargeable up to OMR 20/-) Note: Interested candidates please call us at 97699 11050 or 99302 65888 , or email your CV to recruitment@thegrowthhive.org . Job Type: Full-time Pay: ₹40,000.00 - ₹60,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Monday to Friday Rotational shift Weekend availability Work Location: In person

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Who We Are: Wayfair runs the largest custom e-commerce large parcel network in the United States, approximately 1.6 million square meters of logistics space. The nature of the network is inherently a highly variable ecosystem that requires flexible, reliable, and resilient systems to operate efficiently. We are looking for a passionate Backend Software Engineer to join the Fulfillment Optimization team. This team builds the platforms that determine how customer orders are fulfilled, optimizing for Wayfair profitability and customer delight. A big part of our work revolves around enhancing and scaling customer-facing platforms that provide fulfillment information on our websites, starting at the top of the customer funnel on the search pages all the way through orders being delivered. Throughout this customer journey, we are responsible for maintaining an accurate representation of our dynamic supply chain, determining how different products will fit into boxes, predicting how these boxes will flow through warehouses and trucks, and ultimately surfacing the information our customers need to inform their decision and the details our suppliers and carriers require to successfully execute on the promises made to our customers. We do all of this in milliseconds, thousands of times per second. About the Role : As a Data Engineer, you will be part of the Data Engineering team with this role being inherently multi-functional, and the ideal candidate will work with Data Scientist, Analysts, Application teams across the company, as well as all other Data Engineering squads at Wayfair. We are looking for someone with a love for data, understanding requirements clearly and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products. What you'll do : Build and launch data pipelines, and data products focussed on SMART Org. Helping teams push the boundaries of insights, creating new product features using data, and powering machine learning models. Build cross-functional relationships to understand data needs, build key metrics and standardize their usage across the organization. Utilize current and leading edge technologies in software engineering, big data, streaming, and cloud infrastructure What You'll Need : Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience 6+ years relevant work experience in the Data Engineering field with web scale data sets. Demonstrated strength in data modeling, ETL development and data lake architecture. Data Warehousing Experience with Big Data Technologies (Hadoop, Spark, Hive, Presto, Airflow etc.). Coding proficiency in at least one modern programming language (Python, Scala, etc) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing and query performance tuning skills of large data sets. Industry experience as a Big Data Engineer and working along cross functional teams such as Software Engineering, Analytics, Data Science with a track record of manipulating, processing, and extracting value from large datasets. Strong business acumen. Experience leading large-scale data warehousing and analytics projects, including using GCP technologies – Big Query, Dataproc, GCS, Cloud Composer, Dataflow or related big data technologies in other cloud platforms like AWS, Azure etc. Be a team player and introduce/follow the best practices on the data engineering space. Ability to effectively communicate (both written and verbally) technical information and the results of engineering design at all levels of the organization. Good to have : Understanding of NoSQL Database exposure and Pub-Sub architecture setup. Familiarity with Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Associate - Production Support Engineer Job ID: R0388737 Full/Part-Time: Full-time Regular/Temporary: Regular Listed: 2025-06-27 Location: Bangalore Position Overview Job Title: Associate - Production Support Engineer Location: Bangalore, India Role Description You will be operating within Corporate Bank Production as an Associate, Production Support Engineer in the Corporate Banking subdivisions. You will be accountable to drive a culture of proactive continual improvement into the Production environment through application, user request support, troubleshooting and resolving the errors in production environment. Automation of manual work, monitoring improvements and platform hygiene. Supporting the resolution of issues and conflicts and preparing reports and meetings. Candidate should have experience in all relevant tools used in the Service Operations environment and has specialist expertise in one or more technical domains and ensures that all associated Service Operations stakeholders are provided with an optimum level of service in line with Service Level Agreements (SLAs) / Operating Level Agreements (OLAs). Ensure all the BAU support queries from business are handled on priority and within agreed SLA and also to ensure all application stability issues are well taken care off. Support the resolution of incidents and problems within the team. Assist with the resolution of complex incidents. Ensure that the right problem-solving techniques and processes are applied Embrace a Continuous Service Improvement approach to resolve IT failings, drive efficiencies and remove repetition to streamline support activities, reduce risk, and improve system availability. Be responsible for your own engineering delivery plus, using data and analytics, drive a reduction in technical debt across the production environment with development and infrastructure teams. Act as a Production Engineering role model to enhance the technical capability of the Production Support teams to create a future operating model embedded with engineering culture. Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support." What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Lead by example to drive a culture of proactive continual improvement into the Production environment through automation of manual work, monitoring improvements and platform hygiene. Carry out technical analysis of the Production platform to identify and remediate performance and resiliency issues. Engage in the Software Development Lifecycle (SDLC) to enhance Production Standards and controls. Update the RUN Book and KEDB as & when required Participate in all BCP and component failure tests based on the run books Understand flow of data through the application infrastructure. It is critical to understand the dataflow to best provide operational support Event monitoring and management via a 24x7 workbench that is both monitoring and regularly probing the service environment and acting on instruction of the run book. Drive knowledge management across the supported applications and ensure full compliance Works with team members to identify areas of focus, where training may improve team performance, and improve incident resolution. Your skills and experience Recent experience of applying technical solutions to improve the stability of production environments Working experience of some of the following technology skills: Technologies/Frameworks: Unix, Shell Scripting and/or Python SQL Stack Oracle 12c/19c - for pl/sql, familiarity with OEM tooling to review AWR reports and parameters ITIL v3 Certified (must) Control-M, CRON scheduling MQ- DBUS, IBM JAVA 8/OpenJDK 11 (at least) - for debugging Familiarity with Spring Boot framework Data Streaming – Kafka (Experience with Confluent flavor a plus) and ZooKeeper Hadoop framework Configuration Mgmt Tooling: Ansible Operating System/Platform: RHEL 7.x (preferred), RHEL6.x OpenShift (as we move towards Cloud computing and the fact that Fabric is dependent on OpenShift) CI/CD: Jenkins (preferred) APM Tooling: either or one of Splunk AppDynamics Geneos NewRelic Other platforms: Scheduling – Ctrl-M is a plus, Autosys, etc Search – Elastic Search and/or Solr+ is a plus Methodology: Micro-services architecture SDLC Agile Fundamental Network topology – TCP, LAN, VPN, GSLB, GTM, etc Familiarity with TDD and/or BDD Distributed systems Experience on cloud platforms such as Azure, GCP is a plus Familiarity with containerization/Kubernetes Tools: ServiceNow Jira Confluence BitBucket and/or GIT IntelliJ SQL Plus Familiarity with simple Unix Tooling – putty, mPutty, exceed (PL/)SQL Developer Good understanding of ITIL Service Management framework such as Incident, Problem, and Change processes. Ability to self-manage a book of work and ensure clear transparency on progress with clear, timely, communication of issues. Excellent communication skills, both written and verbal, with attention to detail. Ability to work in Follow the Sun model, virtual teams and in matrix structure Service Operations experience within a global operations context 6-9 yrs experience in IT in large corporate environments, specifically in the area of controlled production environments or in Financial Services Technology in a client-facing function Global Transaction Banking Experience is a plus. Experience of end-to-end Level 2,3,4 management and good overview of Production/Operations Management overall Experience of run-book execution Experience of supporting complex application and infrastructure domains Good analytical, troubleshooting and problem-solving skills Working knowledge of incident tracking tools (i.e., Remedy, Heat etc.) How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

The Industrial System Analytics (ISA) team within GDIA develops cutting-edge cloud analytic solutions using GCP tools and techniques to drive strategic insights across Ford. As a Product Owner (Supervisor), you will be a critical leader within our product-driven organization. You will be responsible for defining, prioritizing, and delivering high-value data products and analytical solutions that directly address key business challenges. This role requires a strong blend of strategic product thinking, hands-on agile execution, and the ability to lead, mentor, and guide your team (or cross-functional teams) to achieve exceptional outcomes in a dynamic, data-intensive environment. You’ll have… Bachelor's degree in a quantitative field such as Computer Science, Engineering, Information Systems, Business Analytics, or a related discipline. 5+ years of experience as a Product Owner, Business Analyst, or similar role managing digital products or data solutions. Demonstrated experience in defining product roadmaps, managing backlogs, and prioritizing features. Proven experience working within an Agile software development environment. Experience gathering and translating business requirements into technical specifications and user stories. Strong understanding of data analytics, AI/ML concepts, and how they can drive business value. Familiarity with cloud platforms, preferably Google Cloud Platform (GCP) services (e.g., BigQuery, GCS, Dataflow). Excellent communication, interpersonal, and stakeholder management skills. Even better, you may have… Master's degree or PhD in a quantitative field. Experience supervising or mentoring other Product Owners or team members. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker). Proficiency in SQL and/or scripting languages (e.g., Python) for data exploration. Knowledge of Ford's internal data ecosystems or IT systems. Experience with DevSecOps practices and tools (e.g., CI/CD pipelines, Jira, GitHub). Certified Scrum Product Owner (CSPO) or similar Agile certification. Proven ability to balance "doing it right" with "speed to delivery" in a fast-paced environment. Inquisitive, proactive, and interested in learning new tools and techniques. - Product Strategy & Vision: Translate high-level business objectives and customer needs into clear product vision, strategy, and measurable outcomes for your product area. Communicate product vision and strategy effectively to the development team, stakeholders, and leadership, ensuring alignment and buy-in. Gather and analyze customer/internal feedback to continuously refine the product roadmap and drive improvements. Backlog Management & Prioritization: Own, define, and prioritize the product backlog, ensuring it is well-groomed with clear, actionable user stories and acceptance criteria. Collaborate closely with engineering, data science, and UX teams to refine requirements and ensure technical feasibility and optimal solution design. Manage interdependencies across features and product releases, identifying and proactively mitigating risks to delivery. Stakeholder Collaboration & Communication: Act as the primary liaison between business stakeholders, customers, and the development team, fostering strong relationships. Translate complex technical concepts into understandable business language and vice versa, facilitating effective decision-making. Manage stakeholder expectations and provide regular, transparent updates on product progress, risks, and achievements. Act as a strategic consultant to the business, guiding them towards optimal data-driven solutions rather than just fulfilling requests. Product Delivery & Quality Assurance: Ensure that delivered software and analytical solutions meet desired business outcomes, quality standards, and compliance requirements (e.g., security, legal, Ford policies). Collaborate with the team to define relevant analytics and metrics to track product performance, adoption, and realized business value. Facilitate user acceptance testing and feedback loops to ensure product adoption and satisfaction. Agile Leadership & Process Improvement: Champion Agile software development principles, culture, and best practices within your team and across the organization. Lead and facilitate team ceremonies (e.g., sprint planning, reviews, retrospectives) to ensure efficient and effective delivery. Mentor, coach, and guide team members (including junior Product Owners, if applicable, or cross-functional team members) in product ownership best practices, problem-solving, and continuous improvement. Ensure effective usage of agile tools (e.g., Jira) and derive meaningful insights for continuous improvement of processes and delivery. Drive adoption of DevSecOps and software craftsmanship practices (CI/CD, TDD) where applicable. -

For quick Response, please fill out the form Job Application Form 34043 - Data Scientist - Senior I - Udaipur https://docs.google.com/forms/d/e/1FAIpQLSeBy7r7b48Yrqz4Ap6-2g_O7BuhIjPhcj-5_3ClsRAkYrQtiA/viewform 3–5 years of experience in Data Engineering or similar roles Strong foundation in cloud-native data infrastructure and scalable architecture design Build and maintain reliable, scalable ETL/ELT pipelines using modern cloud-based tools Design and optimize Data Lakes and Data Warehouses for real-time and batch processing Ingest, transform, and organize large volumes of structured and unstructured data Collaborate with analysts, data scientists, and backend engineers to define data needs Monitor, troubleshoot, and improve pipeline performance, cost-efficiency, and reliability Implement data validation, consistency checks, and quality frameworks Apply data governance best practices and ensure compliance with privacy and security standards Use CI/CD tools to deploy workflows and automate pipeline deployments Automate repetitive tasks using scripting, workflow tools, and scheduling systems Translate business logic into data logic while working cross-functionally Strong in Python and familiar with libraries like pandas and PySpark Hands-on experience with at least one major cloud provider (AWS, Azure, GCP) Experience with ETL tools like AWS Glue, Azure Data Factory, GCP Dataflow, or Apache NiFi Proficient with storage systems like S3, Azure Blob Storage, GCP Cloud Storage, or HDFS Familiar with data warehouses like Redshift, BigQuery, Snowflake, or Synapse Experience with serverless computing like AWS Lambda, Azure Functions, or GCP Cloud Functions Familiar with data streaming tools like Kafka, Kinesis, Pub/Sub, or Event Hubs Proficient in SQL, and knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases Familiar with big data frameworks like Hadoop or Apache Spark Experience with orchestration tools like Apache Airflow, Prefect, GCP Workflows, or ADF Pipelines Familiarity with CI/CD tools like GitLab CI, Jenkins, Azure DevOps Proficient with Git, GitHub, or GitLab workflows Strong communication, collaboration, and problem-solving mindset Experience with data observability or monitoring tools (bonus points) Contributions to internal data platform development (bonus points) Comfort working in data mesh or distributed data ownership environments (bonus points) Experience building data validation pipelines with Great Expectations or similar tools (bonus points)

We are seeking an experienced PySpark Developer / Data Engineer to design, develop, and optimize big data processing pipelines using Apache Spark and Python (PySpark). The ideal candidate should have expertise in distributed computing, ETL workflows, data lake architectures, and cloud-based big data solutions. Key Responsibilities: Develop and optimize ETL/ELT data pipelines using PySpark on distributed computing platforms (Hadoop, Databricks, EMR, HDInsight). Work with structured and unstructured data to perform data transformation, cleansing, and aggregation. Implement data lake and data warehouse solutions on AWS (S3, Glue, Redshift), Azure (ADLS, Synapse), or GCP (BigQuery, Dataflow). Optimize PySpark jobs for performance tuning, partitioning, and caching strategies. Design and implement real-time and batch data processing solutions. Integrate data pipelines with Kafka, Delta Lake, Iceberg, or Hudi for streaming and incremental updates. Ensure data security, governance, and compliance with industry best practices. Work with data scientists and analysts to prepare and process large-scale datasets for machine learning models. Collaborate with DevOps teams to deploy, monitor, and scale PySpark jobs using CI/CD pipelines, Kubernetes, and containerization. Perform unit testing and validation to ensure data integrity and reliability. Required Skills & Qualifications: 6+ years of experience in big data processing, ETL, and data engineering. Strong hands-on experience with PySpark (Apache Spark with Python). Expertise in SQL, DataFrame API, and RDD transformations. Experience with big data platforms (Hadoop, Hive, HDFS, Spark SQL). Knowledge of cloud data processing services (AWS Glue, EMR, Databricks, Azure Synapse, GCP Dataflow). Proficiency in writing optimized queries, partitioning, and indexing for performance tuning. Experience with workflow orchestration tools like Airflow, Oozie, or Prefect. Familiarity with containerization and deployment using Docker, Kubernetes, and CI/CD pipelines. Strong understanding of data governance, security, and compliance (GDPR, HIPAA, CCPA, etc.). Excellent problem-solving, debugging, and performance optimization skills.

About Client Our client is a market-leading company with over 30 years of experience in the industry. As one of the world’s leading professional services firms, with $19.7B, with 333,640 associates worldwide, helping their clients modernize technology, reimagine processes, and transform experiences, enabling them to remain competitive in our fast-paced world. Their Specialties in Intelligent Process Automation, Digital Engineering, Industry & Platform Solutions, Internet of Things, Artificial Intelligence, Cloud, Data, Healthcare, Banking, Finance, Fintech, Manufacturing, Retail, Technology, and Salesforce. Job Title : GCP Data Engineer. Key Skills : - GCP; Big Data; ETL - Big Data / Data Warehousing,Big query, data proc, data flow, composer Locations : Gurugram Experience : - 7-9 Years Education Qualification : Any Graduation Work Mode : Hybrid Employment Type : Contract to Hire Notice Period : Immediate - 10 Days. Job Description : BigQuery,Cloud Storage, Cloud Pub/Sub, Dataflow, Dataproc,Composer• 6+ years in cloud infrastructure and designing data pipeline, specifically in GCP• Proficiency in programming languages Python, SQL• Proven experience in designing and implementing cloud-native applications and microservices on GCP. •Hands-on experience with CI/CD tools like Jenkins and Github Action•In-depth understanding of GCP networking, IAM policies, and security best practices.

Experience : 5.5+years Location : Pan India Immediate Joiners Preferred Role Overview : We are looking for a skilled and experienced GCP Data Engineer to join our team. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL, and will be responsible for building scalable data pipelines and solutions in a cloud-native environment. Key Responsibilities Design, develop, and maintain data pipelines and ETL processes on GCP Write efficient and optimized code using Python, PySpark, and SQL Integrate and transform data from multiple sources into GCP-based data warehouses or data lakes Optimize data pipelines for performance, scalability, and cost-efficiency Collaborate with data analysts, data scientists, and business stakeholders to understand data needs Ensure data quality, reliability, and compliance with security standards Required Skills 5+ years of experience as a Data Engineer Strong hands-on experience with Google Cloud Platform (GCP) and its services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage) Proficient in Python and PySpark for data engineering tasks Advanced knowledge of SQL for data manipulation and analytics Experience with data modeling, data warehousing, and big data processing Familiarity with CI/CD tools and agile development practices Preferred Qualifications GCP certification (e.g., Professional Data Engineer) is a plus Experience with Airflow, Terraform, or other orchestration/automation tools Exposure to real-time data processing and streaming (Kafka, Pub/Sub, etc.) (ref:hirist.tech)

About the job: What makes Techjays an inspiring place to work At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We’re looking for a skilled Data Analytics Engineer to help us build scalable, data-driven solutions that support real-time decision-making and deep business insights. You’ll play a key role in designing and delivering analytics systems that leverage Power BI , Snowflake , and SQL , helping teams across the organization make data-informed decisions with confidence. Experience : 3 to 8 Years Primary Skills: Power BI / Tableau, SQL, Data Modeling, Data Warehousing, ETL/ELT Pipelines, AWS Glue, AWS Redshift, GCP BigQuery, Azure Data Factory, Cloud Data Pipelines, DAX, Data Visualization, Dashboard Development Secondary Skills: Python, dbt, Apache Airflow, Git, CI/CD, DevOps for Data, Snowflake, Azure Synapse, Data Governance, Data Lineage, Apache Beam, Data Catalogs, Basic Machine Learning Concepts Job Location: Coimbatore Key Responsibilities : Develop and maintain scalable, robust ETL/ELT data pipelines across structured and semi-structured data sources. Collaborate with data scientists, analysts, and business stakeholders to identify data requirements and transform them into efficient data models. Design and deliver interactive dashboards and reports using Power BI and Tableau. Implement data quality checks, lineage tracking, and monitoring solutions to ensure high reliability of data pipelines. Optimize SQL queries and BI reports for performance and scalability. Work with cloud-native tools in AWS (e.g., Glue, Redshift, S3), or GCP (e.g., BigQuery, Dataflow), or Azure (e.g., Data Factory, Synapse). Automate data integration and visualization workflows. Required Qualifications: Bachelor's or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in data engineering or data analytics roles. Proven experience with Power BI or Tableau – including dashboard design, DAX, calculated fields, and data blending. Proficiency in SQL and experience in data modeling and relational database design. Hands-on experience with data pipelines and orchestration using tools like Airflow, dbt, Apache Beam, or native cloud tools. Experience working with one or more cloud platforms – AWS, GCP, or Azure. Strong understanding of data warehousing concepts and tools such as Snowflake, BigQuery, Redshift, or Synapse. Preferred Skills: Experience with scripting in Python or Java for data processing. Familiarity with Git, CI/CD, and DevOps for data pipelines. Exposure to data governance, lineage, and catalog tools. Basic understanding of ML pipelines or advanced analytics is a plus. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Detail-oriented with a proactive approach to troubleshooting and optimization. What we offer: Best in packages Paid holidays and flexible paid time away Casual dress code & flexible working environment Medical Insurance covering self & family up to 4 lakhs per person. Work in an engaging, fast-paced environment with ample opportunities for professional development. Diverse and multicultural work environment Be part of an innovation-driven culture that provides the support and resources needed to succeed.

Position Overview Job Title: Service Operations - Production Engineer Support, AVP Location: Pune, India Role Description You will be operating within Corporate Bank Production domain or in Corporate Banking subdivisions, as a AVP - Production Support Engineer. In this role, you will be accountable to drive a culture of proactive continual improvement into the Production environment through application, user request support, troubleshooting and resolving the errors in production environment. Automation of manual work, monitoring improvements and platform hygiene. Training and Mentoring new and existing team members, supporting the resolution of issues and conflicts and preparing reports and meetings. Candidate should have experience in all relevant tools used in the Service Operations environment and has specialist expertise in one or more technical domains and ensures that all associated Service Operations stakeholders are provided with an optimum level of service in line with Service Level Agreements (SLAs) / Operating Level Agreements (OLAs). Ensure all the BAU support queries from business are handled on priority and within agreed SLA and also to ensure all application stability issues are well taken care off. Support the resolution of incidents and problems within the team. Assist with the resolution of complex incidents. Ensure that the right problem-solving techniques and processes are applied Embrace a Continuous Service Improvement approach to resolve IT failings, drive efficiencies and remove repetition to streamline support activities, reduce risk, and improve system availability. Be responsible for your own engineering delivery and using data and analytics, drive a reduction in technical debt across the production environment with development and infrastructure teams. Act as a Production Engineering role model to enhance the technical capability of the Production Support teams to create a future operating model embedded with engineering culture. Train and Mentor team members to grow to the next role Bring in the culture of innovation engineering and automation mindset Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Lead by example to drive a culture of proactive continual improvement into the Production environment through automation of manual work, monitoring improvements and platform hygiene. Carry out technical analysis of the Production platform to identify and remediate performance and resiliency issues. Engage in the Software Development Lifecycle (SDLC) to enhance Production Standards and controls. Update the RUN Book and KEDB as & when required Participate in all BCP and component failure tests based on the run books Understand flow of data through the application infrastructure. It is critical to understand the dataflow so as to best provide operational support Event monitoring and management via a 24x7 workbench that is both monitoring and regularly probing the service environment and acting on instruction of a run book. Drive knowledge management across the supported applications and ensure full compliance. Works with team members to identify areas of focus, where training may improve team performance, and improve incident resolution. Your Skills And Experience Recent experience of applying technical solutions to improve the stability of production environments Working experience of some of the following technology skills: Technologies/Frameworks: Shell Scripting and/or Python JAVA 8/OpenJDK 11 (at least) - for debugging Familiarity with Spring Boot framework Unix Troubleshooting skills Hadoop framework stack Oracle 12c/19c - for pl/sql, familiarity with OEM tooling to review AWR reports and parameters No-SQL MQ Knowledge ITIL v3 Certified (must) Configuration Mgmt Tooling : Ansible Operating System/Platform: RHEL 7.x (preferred), RHEL6.x OpenShift (as we move towards Cloud computing and the fact that Fabric is dependent on OpenShift) CI/CD: Jenkins (preferred) Team City APM Tooling: Splunk Geneos NewRelic Prometheus-Grafana Other platforms: Scheduling – Ctrl-M is a plus, AIRFLOW, CRONTAB or Autosys, etc Methodology: Micro-services architecture SDLC Agile Fundamental Network topology – TCP, LAN, VPN, GSLB, GTM, etc Distributed systems experience on cloud platforms such as Azure, GCP is a plus familiarity with containerization/Kubernetes Tools: ServiceNow Jira Confluence BitBucket and/or GIT Oracle, SQL Plus Familiarity with simple Unix Tooling – putty, mPutty, exceed (PL/)SQL Developer Good understanding of ITIL Service Management framework such as Incident, Problem, and Change processes. Ability to self-manage a book of work and ensure clear transparency on progress with clear, timely, communication of issues. Excellent troubleshooting and problem solving skills. Excellent communication skills, both written and verbal, with attention to detail. Ability to work in virtual teams and in matrix structures Experience | Exposure (Recommended): 11+ yrs experience in IT in large corporate environments, specifically in the area of controlled production environments or in Financial Services Technology in a client-facing function Service Operations, development experience within a global operations context Global Transaction Banking Experience is a plus. Experience of end-to-end Level 2,3,4 management and good overview of Production/Operations Management overall Experience of supporting complex application and infrastructure domains ITIL / best practice service context. ITIL foundation is plus. Good analytical and problem-solving skills Added advantage if knowing following technologies. ETL Flow and Pipelines. Knowledge of Bigdata, SPARK, HIVE etc. Hands on exp on Splunk/New Relic for creating dashboards along with alerts/rules setups Understanding of messaging systems like SWIFT. MQ messages Understanding Trade life cycles specially for back office How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Position Overview Job Title: Associate - Production Support Engineer Location: Bangalore, India Role Description You will be operating within Corporate Bank Production as an Associate, Production Support Engineer in the Corporate Banking subdivisions. You will be accountable to drive a culture of proactive continual improvement into the Production environment through application, user request support, troubleshooting and resolving the errors in production environment. Automation of manual work, monitoring improvements and platform hygiene. Supporting the resolution of issues and conflicts and preparing reports and meetings. Candidate should have experience in all relevant tools used in the Service Operations environment and has specialist expertise in one or more technical domains and ensures that all associated Service Operations stakeholders are provided with an optimum level of service in line with Service Level Agreements (SLAs) / Operating Level Agreements (OLAs). Ensure all the BAU support queries from business are handled on priority and within agreed SLA and also to ensure all application stability issues are well taken care off. Support the resolution of incidents and problems within the team. Assist with the resolution of complex incidents. Ensure that the right problem-solving techniques and processes are applied Embrace a Continuous Service Improvement approach to resolve IT failings, drive efficiencies and remove repetition to streamline support activities, reduce risk, and improve system availability. Be responsible for your own engineering delivery plus, using data and analytics, drive a reduction in technical debt across the production environment with development and infrastructure teams. Act as a Production Engineering role model to enhance the technical capability of the Production Support teams to create a future operating model embedded with engineering culture. Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support." What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Lead by example to drive a culture of proactive continual improvement into the Production environment through automation of manual work, monitoring improvements and platform hygiene. Carry out technical analysis of the Production platform to identify and remediate performance and resiliency issues. Engage in the Software Development Lifecycle (SDLC) to enhance Production Standards and controls. Update the RUN Book and KEDB as & when required Participate in all BCP and component failure tests based on the run books Understand flow of data through the application infrastructure. It is critical to understand the dataflow to best provide operational support Event monitoring and management via a 24x7 workbench that is both monitoring and regularly probing the service environment and acting on instruction of the run book. Drive knowledge management across the supported applications and ensure full compliance Works with team members to identify areas of focus, where training may improve team performance, and improve incident resolution. Your Skills And Experience Recent experience of applying technical solutions to improve the stability of production environments Working experience of some of the following technology skills: Technologies/Frameworks: Unix, Shell Scripting and/or Python SQL Stack Oracle 12c/19c - for pl/sql, familiarity with OEM tooling to review AWR reports and parameters ITIL v3 Certified (must) Control-M, CRON scheduling MQ- DBUS, IBM JAVA 8/OpenJDK 11 (at least) - for debugging Familiarity with Spring Boot framework Data Streaming – Kafka (Experience with Confluent flavor a plus) and ZooKeeper Hadoop framework Configuration Mgmt Tooling: Ansible Operating System/Platform: RHEL 7.x (preferred), RHEL6.x OpenShift (as we move towards Cloud computing and the fact that Fabric is dependent on OpenShift) CI/CD: Jenkins (preferred) APM Tooling: either or one of Splunk AppDynamics Geneos NewRelic Other platforms: Scheduling – Ctrl-M is a plus, Autosys, etc Search – Elastic Search and/or Solr+ is a plus Methodology: Micro-services architecture SDLC Agile Fundamental Network topology – TCP, LAN, VPN, GSLB, GTM, etc Familiarity with TDD and/or BDD Distributed systems Experience on cloud platforms such as Azure, GCP is a plus Familiarity with containerization/Kubernetes Tools: ServiceNow Jira Confluence BitBucket and/or GIT IntelliJ SQL Plus Familiarity with simple Unix Tooling – putty, mPutty, exceed (PL/)SQL Developer Good understanding of ITIL Service Management framework such as Incident, Problem, and Change processes. Ability to self-manage a book of work and ensure clear transparency on progress with clear, timely, communication of issues. Excellent communication skills, both written and verbal, with attention to detail. Ability to work in Follow the Sun model, virtual teams and in matrix structure Service Operations experience within a global operations context 6-9 yrs experience in IT in large corporate environments, specifically in the area of controlled production environments or in Financial Services Technology in a client-facing function Global Transaction Banking Experience is a plus. Experience of end-to-end Level 2,3,4 management and good overview of Production/Operations Management overall Experience of run-book execution Experience of supporting complex application and infrastructure domains Good analytical, troubleshooting and problem-solving skills Working knowledge of incident tracking tools (i.e., Remedy, Heat etc.) How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

KLDiscovery, a leading global provider of electronic discovery, information governance and data recovery services, is currently seeking a Senior Software Engineer, C++ for an exciting new opportunity. The position will assist in review and analysis of applications, product development, and enhancements including documentation, code development, and unit testing of releases while adhering to KLDiscovery development processes and workflows with supervision and direction from lead developers and superiors. If you like working in a creative, technology-driven, high energy, collaborative, casual environment, and you have strong software development abilities, this is the opportunity for you! Hybrid or remote, work from home opportunity. Responsibilities Create, Validate and Review program code per specifications. Develop automated unit and API tests. Support bug fixes and implement enhancements to applications in Production. Create, design and review SW documentation. Utilize, communicate, and enforce coding standards. Provide Technical Support to applications in Production within defined SLA. Adhere to development processes and workflows. Assist and mentor team demonstrating technical excellence. Detects problems and areas that need improvement early and raises issues. Qualifications Fluent English (C1) At least 5 years of commercial, hands-on software development experience in C#/.NET and C++ Experience with ASP.NET Core Blazor Experience with Entity Framework Core Experience with desktop applications (Winforms preferred) Experience with background jobs and workers (e.g. Hangfire) Experience with Angular is a plus Creating dataflow/sequence/C4 diagrams Good understanding of at least one of architectural/design patterns: MVC/MVP/MVVM/Clean/Screaming/Hexagonal architectures .NET memory model and performance optimizations solutions Writing functional tests. Writing structure tests. Understanding modularity and vertical slices. Data privacy and securing desktop apps. Ability to design functionalities based on requirements Our Cultural Values Entrepreneurs at heart, we are a customer first team sharing one goal and one vision. We seek team members who are: Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500). Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer.

Join SADA as a Senior Data Engineer (ESS)! Your Mission As a Sr Data Engineer at SADA, you will ensure our customers' support issues are handled effectively. You will work with highly skilled support engineers focused on providing Google Cloud Platform Data Engineering solutions, including BigQuery, Cloud SQL, Google Cloud Monitoring, and related Google services. The Data Engineer is responsible for providing technical assistance and guidance to team members and customers, updating knowledge articles, and enacting improvements to our ServiceNow incident management system, as well as being a SADA ambassador to our clients. Participating in on-call rotations, the Data Engineer must also be technically adept with Google products and be able to seamlessly and effectively partner with other SADA work groups, our partners, and our customers. SADA ESS delivers 24x7 support from a variety of locations around the world. This is primarily a customer-facing role. You will also work closely with SADA's Customer Experience team to execute on their recommendations to our customers. Pathway to Success Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in Google Cloud Platform. Your success starts by positively impacting the direction of a fast-growing practice with vision and passion. You will be measured bi-yearly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Expectations Required Travel - 10% travel to customer sites, conferences, and other related events. Customer Facing - You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Onboarding/Training - Ongoing with first-week orientation followed by a 90-day onboarding schedule. Details of the timeline can be shared. Job Requirements Required Credentials: Google Professional Data Engineer Certified or able to complete within the first 45 days of employment A secondary Google Cloud certification in any other specialization Required Qualifications: 5+ years of experience writing software in at least two or more languages such as Python, Java, Scala, or Go Experience in supporting customers preferably in 24/7 environments Experience in building production-grade data solutions (relational and NoSQL) Experience with systems monitoring/alerting, capacity planning, and performance tuning Experience with BI tools like Tableau, Looker etc will be an advantage Consultative mindset that delights the customer by building good rapport with them to fully understand their requirements and provide accurate solutions Exposure to at least one of the following: Google Cloud DataFlow: building batch/streaming ETL pipelines with frameworks such as Apache Beam or Google Cloud DataFlow and working with messaging systems like Pub/Sub, Kafka and RabbitMQ; Auto scaling DataFlow clusters, troubleshooting cluster operation issues Data Integration Tools such as Fivetran, Striim, Data Fusion, etc. Must have hands-on experience configuring and integrating with multiple Data Sources within and outside of Google Cloud Support Large Enterprise Migration: migrating entire cloud or on-prem assets to Google Cloud including Data Lakes, Data Warehouses, Databases, Business Intelligence, Jobs, etc. Provide consultations for optimizing cost, defining methodology, and coming up with a plan to execute the migration. Useful Qualifications: Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc) Experience with IoT architectures and building real-time data streaming pipelines Experience operationalizing Language Models and machine learning models on large datasets Demonstrated leadership and self-direction -- willingness to teach others and learn new techniques Demonstrated skills in selecting the right statistical tools given a data analysis problem Understanding of Chaos Engineering Understanding of PCI, SOC2, and HIPAA compliance standards Understanding of principle of least privilege and security best practices Understanding of cryptocurrency and blockchain technology About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work .

About The Opportunity A fast-growing player in the Data & Analytics consulting sector, we build cloud-native data platforms and real-time reporting solutions for enterprises in retail, BFSI, and healthcare. Leveraging Google Cloud’s advanced analytics stack, we turn high-volume data into actionable insights that accelerate digital transformation and revenue growth. Role & Responsibilities Design, develop, and optimize BigQuery data warehouses for petabyte-scale analytics. Build ingestion pipelines using Dataflow, Pub/Sub, and Cloud Storage to ensure reliable, low-latency data availability. Implement ELT/ETL workflows in Python and SQL, applying best practices for partitioning, clustering, and cost control. Create and orchestrate DAGs in Cloud Composer/Airflow to automate data processing and quality checks. Collaborate with analysts and business stakeholders to model datasets, define SLAs, and deliver high-impact dashboards. Harden production environments with CI/CD, Terraform, monitoring, and automated testing for zero-defect releases. Skills & Qualifications Must-Have 3+ years building data pipelines on Google Cloud Platform. Expert hands-on experience with BigQuery optimisation and SQL performance tuning. Proficiency in Python scripting for data engineering tasks. Deep understanding of Dataflow or Apache Beam streaming and batch paradigms. Solid grasp of data warehousing principles, partitioning, and metadata management. Version control, containerisation, and CI/CD exposure (Git, Docker, Cloud Build). Preferred Terraform/IaC for infrastructure provisioning. Experience migrating on-prem warehouses (Teradata, Netezza) to BigQuery. Knowledge of data governance, DLP, and security best practices in GCP. Benefits & Culture Highlights Industry-leading GCP certifications paid and supported. Product-grade engineering culture with peer mentorship and hackathons. On-site, collaboration-rich workplace designed for learning and innovation. Skills: apache beam,ci/cd,sql,python,git,cloud storage,dataflow,docker,bigquery,airflow,cloud build,terraform,data warehousing,gcp data engineer (bigquery)

About The Opportunity A fast-growing player in the Data & Analytics consulting sector, we build cloud-native data platforms and real-time reporting solutions for enterprises in retail, BFSI, and healthcare. Leveraging Google Cloud’s advanced analytics stack, we turn high-volume data into actionable insights that accelerate digital transformation and revenue growth. Role & Responsibilities Design, develop, and optimize BigQuery data warehouses for petabyte-scale analytics. Build ingestion pipelines using Dataflow, Pub/Sub, and Cloud Storage to ensure reliable, low-latency data availability. Implement ELT/ETL workflows in Python and SQL, applying best practices for partitioning, clustering, and cost control. Create and orchestrate DAGs in Cloud Composer/Airflow to automate data processing and quality checks. Collaborate with analysts and business stakeholders to model datasets, define SLAs, and deliver high-impact dashboards. Harden production environments with CI/CD, Terraform, monitoring, and automated testing for zero-defect releases. Skills & Qualifications Must-Have 3+ years building data pipelines on Google Cloud Platform. Expert hands-on experience with BigQuery optimisation and SQL performance tuning. Proficiency in Python scripting for data engineering tasks. Deep understanding of Dataflow or Apache Beam streaming and batch paradigms. Solid grasp of data warehousing principles, partitioning, and metadata management. Version control, containerisation, and CI/CD exposure (Git, Docker, Cloud Build). Preferred Terraform/IaC for infrastructure provisioning. Experience migrating on-prem warehouses (Teradata, Netezza) to BigQuery. Knowledge of data governance, DLP, and security best practices in GCP. Benefits & Culture Highlights Industry-leading GCP certifications paid and supported. Product-grade engineering culture with peer mentorship and hackathons. On-site, collaboration-rich workplace designed for learning and innovation. Skills: apache beam,ci/cd,sql,python,git,cloud storage,dataflow,docker,bigquery,airflow,cloud build,terraform,data warehousing,gcp data engineer (bigquery)

About The Opportunity A fast-growing player in the Data & Analytics consulting sector, we build cloud-native data platforms and real-time reporting solutions for enterprises in retail, BFSI, and healthcare. Leveraging Google Cloud’s advanced analytics stack, we turn high-volume data into actionable insights that accelerate digital transformation and revenue growth. Role & Responsibilities Design, develop, and optimize BigQuery data warehouses for petabyte-scale analytics. Build ingestion pipelines using Dataflow, Pub/Sub, and Cloud Storage to ensure reliable, low-latency data availability. Implement ELT/ETL workflows in Python and SQL, applying best practices for partitioning, clustering, and cost control. Create and orchestrate DAGs in Cloud Composer/Airflow to automate data processing and quality checks. Collaborate with analysts and business stakeholders to model datasets, define SLAs, and deliver high-impact dashboards. Harden production environments with CI/CD, Terraform, monitoring, and automated testing for zero-defect releases. Skills & Qualifications Must-Have 3+ years building data pipelines on Google Cloud Platform. Expert hands-on experience with BigQuery optimisation and SQL performance tuning. Proficiency in Python scripting for data engineering tasks. Deep understanding of Dataflow or Apache Beam streaming and batch paradigms. Solid grasp of data warehousing principles, partitioning, and metadata management. Version control, containerisation, and CI/CD exposure (Git, Docker, Cloud Build). Preferred Terraform/IaC for infrastructure provisioning. Experience migrating on-prem warehouses (Teradata, Netezza) to BigQuery. Knowledge of data governance, DLP, and security best practices in GCP. Benefits & Culture Highlights Industry-leading GCP certifications paid and supported. Product-grade engineering culture with peer mentorship and hackathons. On-site, collaboration-rich workplace designed for learning and innovation. Skills: apache beam,ci/cd,sql,python,git,cloud storage,dataflow,docker,bigquery,airflow,cloud build,terraform,data warehousing,gcp data engineer (bigquery)

About The Opportunity A fast-growing player in the Data & Analytics consulting sector, we build cloud-native data platforms and real-time reporting solutions for enterprises in retail, BFSI, and healthcare. Leveraging Google Cloud’s advanced analytics stack, we turn high-volume data into actionable insights that accelerate digital transformation and revenue growth. Role & Responsibilities Design, develop, and optimize BigQuery data warehouses for petabyte-scale analytics. Build ingestion pipelines using Dataflow, Pub/Sub, and Cloud Storage to ensure reliable, low-latency data availability. Implement ELT/ETL workflows in Python and SQL, applying best practices for partitioning, clustering, and cost control. Create and orchestrate DAGs in Cloud Composer/Airflow to automate data processing and quality checks. Collaborate with analysts and business stakeholders to model datasets, define SLAs, and deliver high-impact dashboards. Harden production environments with CI/CD, Terraform, monitoring, and automated testing for zero-defect releases. Skills & Qualifications Must-Have 3+ years building data pipelines on Google Cloud Platform. Expert hands-on experience with BigQuery optimisation and SQL performance tuning. Proficiency in Python scripting for data engineering tasks. Deep understanding of Dataflow or Apache Beam streaming and batch paradigms. Solid grasp of data warehousing principles, partitioning, and metadata management. Version control, containerisation, and CI/CD exposure (Git, Docker, Cloud Build). Preferred Terraform/IaC for infrastructure provisioning. Experience migrating on-prem warehouses (Teradata, Netezza) to BigQuery. Knowledge of data governance, DLP, and security best practices in GCP. Benefits & Culture Highlights Industry-leading GCP certifications paid and supported. Product-grade engineering culture with peer mentorship and hackathons. On-site, collaboration-rich workplace designed for learning and innovation. Skills: apache beam,ci/cd,sql,python,git,cloud storage,dataflow,docker,bigquery,airflow,cloud build,terraform,data warehousing,gcp data engineer (bigquery)

Job Title: Nursing/Health Care Assistant Location: Oman Employment Type: Full-Time (rotational shifts, weekend availability) Salary: 250 to 300 OMR per month Reports To: RNs / LPNs / Nurse Manager Job Summary We are seeking a compassionate and dedicated Nursing/Health Care Assistant to support our nursing and rehabilitation team in delivering exceptional patient care. Under the supervision of RNs/LPNs, you will assist with daily living activities, monitor vital signs, maintain hygiene and safety, support therapy sessions, manage feeding and incontinence, perform light housekeeping, and assist with admissions, transfers, and transportation. Key Responsibilities 1. Personal Care & Activities of Daily Living Assist patients with bathing, grooming, dressing, toileting, and incontinence care. Support mobility: transfers, ambulation, positioning, turning to prevent bedsores, and range-of-motion exercises. Provide tube feeding and feeding assistance when necessary. 2. Observation & Monitoring Measure and record vital signs (BP, pulse, temperature, respiration) and intake/output per shift. Observe and document changes in behaviour, mood, physical condition, or signs of distress/aggression, and report promptly. Assist in restraining patients as per rehabilitation protocols. 3. Therapeutic Support Aid physiotherapists and participate in group or individual therapy sessions. Escort patients in emergency and non-emergency situations within the facility or to outpatient (OPD) appointments and events. 4. Medical & Equipment Care Support light medical tasks under supervision (e.g., non‑sterile dressings, routine equipment/supply care). Perform inventory checks and ensure medical supplies/equipment are organized and functional. 5. Environment & Safety Ensure patient rooms are clean and hygienic: change linens, sanitize equipment, tidy rooms. Maintain infection control, follow health & safety protocols, and supervise patients to prevent falls or harm. 6. Admissions, Transfers & Documentation Assist with patient admissions, transfers, and discharges. Accurately record care activities, observations, vitals, feeding, and output in patient charts. 7. Emotional & Companionship Support Provide compassionate companionship, basic patient education, and emotional support. Qualifications & Skills ANM diploma (2‑year) or CNA/Healthcare Assistant certification. 1–3 years minimum healthcare or GNM/BSc or relevant qualification; 3+ years preferred. CPR/BLS certification advantageous. Valid Dataflow clearance (for international candidates). Strong interpersonal, communication, empathy, and confidentiality skills. Physically able to lift up to ~50 lbs, stand for long periods, and perform patient transfers. Working Hours & Benefits Schedule : Rotational shifts; weekend availability. Benefits : Free Joining Ticket (Will be reimbursed after the 3 months’ Probation period) 30 Days paid Annual leave after 1 year of service completion Yearly Up and Down Air Ticket Medical Insurance Life Insurance Accommodation (Chargeable up to OMR 20/-) Note: Interested candidates please call us at 97699 11050 or 99302 65888 , or email your CV to recruitment@thegrowthhive.org . Job Type: Full-time Pay: ₹40,000.00 - ₹60,000.00 per month Benefits: Food provided Health insurance Provident Fund Schedule: Monday to Friday Rotational shift Weekend availability Work Location: In person

Position Overview Job Title: Lead Engineer Location: Pune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank What we'll offer you: As part of our flexible scheme, here are just some of the benefits that you'll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities: The candidate is expected to; Hands-on engineering lead involved in analysis, design, design/code reviews, coding and release activities Champion engineering best practices and guide/mentor team to achieve high performance. Work closely with Business stakeholders, Tribe lead, Product Owner, Lead Architect to successfully deliver the business outcomes. Acquire functional knowledge of the business capability being digitized/re-engineered. Demonstrate ownership, inspire others, innovative thinking, growth mindset and collaborate for success. Your Skills & Experience: Minimum 15 years of IT industry experience in Full stack development Expert in Java, Spring Boot, NodeJS, SQL/PLSQL, ReactJS, Strong experience in Big data processing – Apache Spark, Hadoop, Bigquery, DataProc, Dataflow etc Strong experience in Kubernetes, OpenShift container platform Experience with Databases – Oracle, PostgreSQL, MongoDB, Redis/hazelcast, should understand data modeling, normalization, and performance optimization Experience in message queues (RabbitMQ/IBM MQ, JMS) and Data streaming i.e. Kafka, Pub-sub etc Experience of working on public cloud – GCP preferred, AWS or Azure Knowledge of various distributed/multi-tiered architecture styles – Micro-services, Data mesh, Integration patterns etc Experience on modern software product delivery practices, processes and tooling and BIzDevOps skills such as CI/CD pipelines using Jenkins, Git Actions etc Experience on designing solutions, based on DDD and implementing Clean / Hexagonal Architecture efficient systems that can handle large-scale operation Experience on leading teams and mentoring developers Focus on quality – experience with TDD, BDD, Stress and Contract Tests Proficient in working with APIs (Application Programming Interfaces) and understand data formats like JSON, XML, YAML, Parquet etc Key Skills: Java Spring Boot NodeJS SQL/PLSQL ReactJS Advantageous: Having prior experience in Banking/Finance domain Having worked on hybrid cloud solutions preferably using GCP Having worked on product development How we'll support you: Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Develop, optimize, and maintain scalable data pipelines using Python and PySpark. Design and implement data processing workflows leveraging GCP services such as: BigQuery Dataflow Cloud Functions Cloud Storage