4894 Data Processing Jobs - Page 27

Are you passionate about Artificial Intelligence and looking to gain hands-on experience in the field Fintervue is seeking a talented AI intern to join our team! As an intern with us, you will have the opportunity to work on cutting-edge projects involving machine learning, natural language processing, neural networks, and more. Selected Interns" Day-to-day Responsibilities Include AI Model Development & Training: Work on NLP and machine learning models for interview simulations, speech analysis, and resume evaluation, and fine-tune pre-trained models from Hugging Face to improve responses and feedback. Data Collection & Processing: Assist in curating, cleaning, and preprocessing text, audio, and video datasets to enhance AI accuracy, and work with both structured and unstructured data to develop robust AI models. Speech & Sentiment Analysis: Develop models to analyze confidence, tone, and clarity in candidate speech, and experiment with emotion detection models to enhance AI interview coaching. AI-Powered Chatbots & Automation: Build and optimize AI chatbots for interactive Q&A and interview assistance, and implement real-time AI feedback mechanisms for candidates. Collaboration & Experimentation: Work with engineering and product teams to integrate AI into Fintervue's platform, and explore cutting-edge AI/ML techniques to improve interview simulations and candidate assessments. If you are a proactive and driven individual with a strong background in AI, this is the perfect opportunity for you to take your skills to the next level. Join us at Fintervue and be a part of revolutionizing recruitment with AI! Apply now. About Company: Fintervue is a next-generation AI-powered platform designed to help professionals excel in interviews through mock sessions, expert feedback, and real-time insights. Fintervue offers personalized guidance, AI-driven assessments, and industry-relevant practice questions, resume-based questions to boost confidence and performance. We also focus on providing screening solutions for talent partners and startups.,

Voya India, previously known as VFI SLK, is a technology-driven company dedicated to revolutionizing the financial services customer experience through technology, innovation, and human creativity. As a subsidiary of Voya Financial Inc, we focus on providing cutting-edge solutions for Voya's Health, Wealth, and Investment Management Business. Our goal is to create innovative customer-centric solutions by digitalizing, automating, and optimizing technology and business processes. We nurture a culture that values learning, growth, and inclusivity while developing and implementing impactful solutions for Voya Financial Inc. The responsibilities for this position include: - Processing incoming files for existing clients on a daily basis, involving Maintenance, Audit, and Open Enrollment file production using automated and manual tools. - Processing inbound and outbound files using Benefitfocus/VOYA tooling for Maintenance, Audit, and Open Enrollment file customer commitments. - Updating settings/configurations in the eExchange system as necessary to ensure accurate data processing. - Managing assigned workload through Salesforce to ensure timely client service and meeting service level agreements. - Occasionally communicating with external partners regarding file deliveries. - Using critical thinking, posted documentation, experience, and judgment to overcome challenges and provide quality service to customers. - Collaborating with other departments to understand how files impact customers. - Identifying and participating in process improvement opportunities to enhance customer service for internal and external parties. - Performing other assigned tasks. The ideal candidate possesses: - A degree or equivalent work experience. - 2-8 years of experience in health insurance and/or data processing. - Detail-oriented and process-driven. - Proficiency in Microsoft Office Suite, Salesforce, SharePoint, and file intake/sharing tools. - Strong organizational, analytical, and problem-solving skills. - Excellent written and verbal communication abilities. - Proven time management skills and the ability to meet deadlines. - Capability to work independently and as part of a team. - Prioritization skills to handle multiple tasks while meeting service requirements. - Demonstrated success in critical thinking and making effective recommendations to resolve issues promptly.,

You are requested to answer all the screening questions before applying for this job as it is an important step to help evaluate your application. Your application will not be considered if you do not answer all screening questions. Software@Work India Pvt. Ltd. has been a trusted technology partner for SMEs since 1991, specializing in software solutions. As a 5-Star Tally Partner and a leading ERPNext partner, the company offers a range of services across various industries. In addition to Tally and ERPNext, SME-friendly solutions in sales force automation, CRM, BI, HRMS, and more are provided. Notable customers include Tata Motors, Mercedes-Benz, BMW, and many others. We are currently seeking motivated and driven interns to join our team across Sales, Business Development, Marketing, and AI. These roles offer hands-on exposure to real-world business challenges, client interactions, marketing strategies, and AI-driven automation, enabling you to build practical skills in a dynamic work environment. Positions Available: - Work on lead generation, client engagement, and CRM management to gain real B2B sales experience. - Assist in social media management, content creation, SEO, and performance tracking. - Develop and execute marketing campaigns for B2B software solutions. - Experiment with AI-driven automation, data processing, and workflow optimization. - Assist in workflow management, process optimization, and team coordination to improve operational efficiency. Qualifications: - Currently pursuing or recently completed a degree in Business, Marketing, Mass Communication, Computer Science, or a related field. - Experience with tools like Google Docs, Excel, or relevant software. - Prior internship or project experience is a plus but not required. Requirements: - Strong communication skills and confidence in expressing ideas. - Willingness to learn, take feedback, and adapt in a fast-moving environment. - Ability to take initiative and handle tasks independently. - Openness to learning new skills and applying them practically. - Excitement about gaining real, hands-on experience rather than just observing. Location: Santacruz (E), Mumbai, Maharashtra, India. Employment Type: Full-time. Hybrid/Remote work options are possible for experienced candidates. Work Hours: Monday - Friday 10:00 am - 6:00 pm, Saturdays 10:00 am - 1:30 pm Job Types: Full-time, Internship Contract length: 3 months Schedule: Day shift Application Question(s): - Are you comfortable commuting to the job location - Which internship role are you applying for 1: Sales & Business Development 2: Content & Marketing 3: AI & Automation 4: Operations - Have you previously worked on any projects or internships relevant to your chosen role Work Location: In person,

Responsibilities: The work is about putting the applications into different overseas universities as a data entry. Following up those universities as a skill of having excellent english reading skills. Putting minimum knowledge.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking ways to improve processes and solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Good To Have Skills: Experience with data processing frameworks.- Strong understanding of distributed computing principles.- Familiarity with cloud platforms and services.- Experience in developing and deploying applications in a microservices architecture. Additional Information:- The candidate should have minimum 3 years of experience in Apache Spark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Python (Programming Language), ScalaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by delivering high-quality applications that align with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Python (Programming Language), Scala.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application development. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical requirements. Your role will be pivotal in fostering a collaborative environment that encourages innovation and problem-solving among team members. Roles & Responsibilities:Minimum of 4 years of experience in data engineering or similar roles.Proven expertise with Databricks and data processing frameworks.Technical Skills SQL, Spark, Py spark, Databricks, Python, Scala, Spark SQLStrong understanding of data warehousing, ETL processes, and data pipeline design.Experience with SQL, Python, and Spark.Excellent problem-solving and analytical skills.Effective communication and teamwork abilities. Professional & Technical Skills: Experience and knowledge of Azure SQL Database, Azure Data Factory, ADLS Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based in Pune.- A 15 year full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function smoothly and efficiently. You will also engage in problem-solving discussions and contribute innovative ideas to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Strong understanding of data processing and transformation techniques.- Experience with distributed computing frameworks.- Familiarity with cloud platforms and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Apache Spark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data & Document Mmgt Processor Project Role Description : Perform end to end document management services according to service level agreements. This includes data digitization, data indexing, document scanning and maintenance etc. Support initiatives with a focus on continuous improvement. Must have skills : Business Requirements Analysis Good to have skills : AWS ArchitectureMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have Skills: (POD 3 and other BAs)7+ years experience in Capital Markets domain (Asset & Wealth management:front office processes, including research, ratings, portfolio management and trading)Core BA Skills requirement elicitation, impact analysis, requirement documentation, user stories creation, DOD, Working with PO finalizing PB, test support, business readiness along with JIRA + Confluence know-howStrong communication skillsAbility to query databases and data sources to support requirements gathering approach (SQL, AWS) Qualification 15 years full time education

Project Role : Data & Document Mmgt Processor Project Role Description : Perform end to end document management services according to service level agreements. This includes data digitization, data indexing, document scanning and maintenance etc. Support initiatives with a focus on continuous improvement. Must have skills : Business Requirements Analysis Good to have skills : AWS ArchitectureMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have Skills: (POD 3 and other BAs)7+ years experience in Capital Markets domain (Asset & Wealth management:front office processes, including research, ratings, portfolio management and trading)Core BA Skills requirement elicitation, impact analysis, requirement documentation, user stories creation, DOD, Working with PO finalizing PB, test support, business readiness along with JIRA + Confluence know-howStrong communication skillsAbility to query databases and data sources to support requirements gathering approach (SQL, AWS) Qualification 15 years full time education

Apply functional and technical expertise to work on API & non API online projects. Understand key market research components such as questionnaire design, survey scripting, quota management, data processing, data cleaning, and analysis. Independently manage the entire online research project lifecycle, from feasibility assessment and launch to client delivery. Negotiate feasibility, incidence rates (IR), and budgets with vendors and clients. Oversee and implement quality control processes to ensure reliable data collection. Post launch, coordinate with vendors and clients on project status. Contribute proactively in team discussions by sharing insights and innovative ideas. Represent the company at internal and external industry events as required. Required Skills: Strong understanding of API functionality and technical complexities in online market research. Flair for working on project management tools and familiarity with DIY platforms Proven project management experience, especially in handling large datasets, extracting insights, and making recommendations. Ability to multi-task and work independently in a fast-paced environment. Detail-oriented, adaptable, and resourceful. Maintain a real-time understanding of the competitive landscape to support effective pricing and proposal strategies. Qualifications: Graduate with a minimum of 1-3 years of experience in managing online market research projects. Excellent interpersonal and communication skills to collaborate effectively with clients and vendors. Strong IT proficiency, including Microsoft Office Suite. Exceptional presentation skills. A self-driven approach with a proactive learning mindset. We are looking for a Project Manager / Executive Online Market Research to lead the planning, execution, and management of online market research projects This role requires a strong understanding of project feasibility assessment, data collection, and quota management to ensure high-quality research outcomes The ideal candidate will actively monitor ongoing projects, engage with external stakeholders, and represent the organization in client and vendor interactions

In a typical day, you will work with machine learning scientists, other software engineers, and business groups across Amazon Finance Operations. You will work with terabytes of data and develop machine learning pipelines which process billions of dollars. We partner with our customers, so you will meet with them directly to gain direct feedback on your work. Our team and customer are comfortable trying new ideas, so you will test your ideas in the real world. About the team Our team owns machine learning applications and we work with finance operations to prevent, recover, or avoid internal and external theft, fraud, abuse, and waste. 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent Experience in machine learning, data mining, information retrieval, statistics or natural language processing Experience with real-time data processing and streaming technologies

Responsibilities: Primary Technologies : Rust (Advanced), systems programming, memory management Specialized Libraries : DataFusion library, Apache Arrow ecosystem Development Focus : Library upgrades, performance optimization, testing frameworks Quality Assurance : Test coverage improvement, debugging, code review practices Experience : 3+ years Rust development, data processing libraries preferred Experience & Qualifications 3+ Years of experience BE/B.Tech/M.Tech/MCA

Global & Indian Privacy Frameworks: Demonstrate an exceptional level of expertise in DPDPA and GDPR . Apply your deep understanding of these regulations to assess, implement, and maintain a robust privacy program. Privacy by Design: Collaborate with product and engineering teams to integrate privacy requirements seamlessly into the software development lifecycle. Ensure that new products and features are designed with privacy in mind from the outset. Review the product designs for privacy compliance in line with DPDP/GDPR. Technical proficiency to map product, tech and privacy correlation and suggest the best way forward. Privacy Impact Assessments (PIAs): Lead and conduct PIAs and Data Protection Impact Assessments (DPIAs) for new projects, products, and data processing activities. Analyze potential privacy risks and recommend effective mitigation strategies. Audit and Compliance: Plan, execute, and report on internal and external privacy audits. Identify compliance gaps and deviations, and work with relevant teams to develop and manage remediation plans. Periodically assess the privacy best practices as mandated by regulators and evaluate the implementation of such practices in Razorpay. Work with Public Policy team and regulators to address the privacy requirements and incorporate the best practices within product, policies and operations. Periodically assess the privacy best practices as mandated by regulators and evaluate the implementation of such practices in Razorpay. Policy and Process Development: Create, define, and continuously improve privacy-related processes and procedures, including data subject request handling, consent management, and data retention policies.Draft and review Data Sharing Agreements with different parties. Data Security & Privacy Technology: Data Security Controls: Possess a strong grasp of data security principles, including access controls, encryption, and incident response. Advise on, suggest, and implement technical controls such as Data Loss Prevention (DLP) solutions and data masking techniques to enhance data privacy and security. Security Controls: Evaluate existing technical and organizational security controls to identify potential vulnerabilities that could impact personal data. Recommend appropriate measures to enhance data protection. Hosted Platforms: Understand the privacy implications of using hosted platforms like AWS or Azure . Evaluate vendor platforms for compliance with data protection laws and recommend necessary controls. Privacy-Enhancing Technologies (PETs): Advise on and evaluate the use of privacy tools and technologies to automate and streamline privacy compliance. This includes solutions for data discovery, consent management, and data subject access requests (DSARs).

Process and analyze large volumes of ESI using Nuix, CloudNine Law, and Reveal. Perform tasks such as deNISTing, deduplication, metadata extraction, text and native extraction, and indexing. Ensure accurate ingestion and export of data into and out of review platforms like Relativity. Execute keyword searches and filtering to reduce data volumes based on client requirements. Identify and troubleshoot issues during data processing, including corrupt files, exceptions, and unsupported formats. Track processing status and maintain accurate logs, processing reports, etc. Coordinate with the PM team to interpret processing requirements and deliver timely outputs. Ensure compliance with security, confidentiality, and privacy standards throughout the processing lifecycle. Required Qualifications: Bachelor s degree in Computer Science, Information Technology, Engineering (B.Tech) or MCA. Around 1 year of relevant experience in the Ediscovery processing function. Proficiency with Ediscovery tools like: - Nuix Workstation. - Cloud 9 Law - Relativity - Reveal Understanding of ESI formats and metadata handling (PST, EML, MSG, PDFs, Office documents, etc.). Ability to handle processing workflows, troubleshoot errors, and validate data accuracy.

Key ResponsibilitiesUnderstand business requirements by engaging with business teams Data extraction from valuable data sources & automating data collection process Data processing, cleaning and validating integrity of data to be used for analysis Exploratory data analysis to identify trends and patterns in large amount of data Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc Present insights using data visualization techniques Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc Experience in data visualization tools like tableau, QlikSense etc Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models.

Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Lead the development of new methodologies and frameworks for ML applications. Minimum Qualifications Minimum of 15 years of relevant work experience and a Bachelors degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Proven track record of leading the design, implementation, and deployment of machine learning models.

Essential Responsibilities Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications Minimum of 7 years of relevant work experience and a Bachelors degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Preferred Qualification Strong understanding of supervised and unsupervised learning, deep learning algorithms,model evaluation, and algorithm tuning. Proven experience working with tabular and textual data, including advanced preprocessing techniques. Proficiency in Python (preferred) and Java, with hands-on experience building RESTful APIs and integrating AI/MLmodels into live services. Solid grasp of containerization (Docker, Kubernetes), and MLOps frameworks (e.g., MLflow, TFX, or Kubeflow), streaming data systems (e.g., Kafka, Flink) and real-time ML inference. Demonstrated experience in system architecture, solution design, and building scalable AI/ML systems. Familiarity with agentic and multi agent frameworks is a plus Team Handling experience is must

Design, develop, and maintain Java applications using Core Java, Spring Framework, JDBC, and multithreading concepts. Work with relational and NoSQL databases to manage and optimize data storage and retrieval. Implement and optimize multi-service integrations to ensure seamless component interactions. Debug and troubleshoot applications using log analysis and monitoring tools. Handle large-scale data processing tasks effectively, ensuring scalability and efficiency. Utilize cloud platforms (Azure, GCP) and gain exposure to DevOps practices. Apply knowledge of containerization technologies such as Docker and Kubernetes. Collaborate with cross-functional teams to solve complex technical challenges. Follow Agile methodologies (Scrum/Kanban) for software development lifecycle. Continuously research and adopt emerging technologies to enhance development processes.

Required for processing and analyzing data to provide actionable insights into market trends, consumer behavior, and competitive dynamics This role involves ensuring data accuracy through cleaning and integration The analyst uses statistical methods and visualization tools to interpret data and create detailed reports and dashboards They collaborate with cross-functional teams to support strategic decision-making and continuously improve research methodologies Strong analytical skills, proficiency in statistical software, and the ability to communicate findings effectively are essential for this position KEY JOB RESPONSIBILITIES: Perform data checks using Quantum, SPSS and Excel Writing data cleaning scripts Do data manipulation like labeling, stacking, recoding etc. Resolving client queries and updating their

As a Software Engineer ( Java, AWS, REST services ,Nice to have- Scala), you will develop backend services to manage the content infrastructure and repositories for the state-of-the-art Mapping Technologies at HERE. You will be part of an agile pod team that is developing geo-spatial processing, enrichment and transformation tools with the goal to source and process map content in an efficient, scalable and highly automated manner to generate and maintain the freshest and most relevant map. Analyze product requirements and design to develop efficient, re-usable, reliable and scalable software with quality conformance in an innovative and iteratively growing environment Implement tools to enhance both automated and semi-automated map data processing, involving backend/service-based software stacks, but also dashboard components for data tracking and analysis

Develop and maintain Kafka-based data pipelines. Collaborate with IT and data teams to design scalable and reliable solutions. Monitor and optimize the performance of Kafka clusters. Troubleshoot and resolve issues related to Kafka and data processing. Ensure data security and compliance with industry standards. Create and maintain documentation for Kafka configurations and processes. Implement best practices for Kafka architecture and operations.

Role & responsibilities 1. Accurately inputting, updating, and maintaining information into digital systems and databases from various sources, such as paper documents or electronic records . 2 .Verifying data for accuracy, correcting errors, ensuring data integrity, generating reports, performing regular backups, and maintaining data confidentiality. Preferred candidate profile Good Computer knowledge and Typing Speed

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You will develop intricate data processing pipelines, addressing clients' most challenging problems. You will collaborate with data scientists to design scalable implementations of their models. You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. You will use different distributed storage and computing technologies from the plethora of options available. You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. You will collaborate with the team on the areas of data governance, data security and data privacy. You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. You have experience in writing clean, high-quality code using the preferred programming language. You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. You have experience with data visualization techniques and can communicate the insights as per the audience. You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.