17 Data Normalization Jobs

As a highly skilled and experienced Senior Solution Architect specializing in RPA (Robotic Process Automation), Intelligent Document Processing (IDP), and integration with modern web and enterprise technologies, you will be responsible for designing end-to-end automation solutions using RPA tools (UiPath ecosystem) and IDP tools (ABBYY FC, ABBYY Vantage). You will architect scalable, secure, and maintainable automation solutions leveraging .NET technologies and Power Platform. Collaboration with business analysts, developers, and stakeholders to understand requirements and translate them into technical designs will be a key aspect of your role. In terms of technical leadership, you will mentor and guide development teams on best practices in coding, design, and architecture. Conducting code reviews and ensuring adherence to architectural standards will also be part of your responsibilities. You will oversee the integration of multiple technologies such as Python, PHP/MySQL, Laravel, AI/ML, and databases. Your role will involve leading the development of automation solutions involving various technologies like Windows Forms, Web Forms, MVC, Windows Components, Multithreading, and Socket Programming. Designing and developing APIs for seamless integration between systems, as well as implementing process automations using UiPath, will be key tasks. Additionally, you will design complex database schemas and queries, ensuring data normalization and denormalization as required for application performance and reporting. Integrating various technologies including JQuery, JavaScript, CSS, and web frameworks, and ensuring smooth connectivity between legacy and modern systems, will be part of your responsibilities. You will also implement AI/ML models as part of intelligent automation solutions and drive innovation by leveraging cognitive and machine learning capabilities for unstructured data processing. You will be required to prepare and present technical architecture documents, solution blueprints, and proposals, providing technical leadership during client workshops, pre-sales, and solution demonstrations. The ideal candidate should possess strong analytical, communication, and documentation skills, along with the ability to work independently and lead technical teams. Preferred qualifications include 8+ years of overall IT experience with a minimum of 3 years in solution architecture for RPA/IDP, experience in enterprise-grade automation and digital transformation projects, and experience integrating RPA with AI/ML services and modern web/cloud technologies. Certifications such as UiPath Advanced Developer or Solution Architect Certification, ABBYY Certified Specialist (FlexiCapture, Vantage), and Microsoft Power Platform Certification are preferred.,

As a Computer Vision Engineer, you will play a crucial role in transforming business challenges into data-driven machine learning solutions. Your primary responsibility will be to design, develop, and implement computer vision algorithms and models for image and video analysis, object detection, recognition, and tracking. Collaborating with cross-functional teams, you will translate business requirements into technical specifications for computer vision solutions. Staying updated with the latest advancements in computer vision and deep learning, you will identify opportunities for innovation and optimization. To excel in this role, you should have at least 2 years of experience in computer vision and/or deep learning for object detection and tracking, as well as semantic or instance segmentation in academic or industrial domains. Proficiency in Python and related packages such as numpy, scikit-image, PIL, opencv, matplotlib, and seaborn is essential. Additionally, you must possess a strong foundation in data structures and algorithms in Python or C++, along with experience in training models through GPU computing using NVIDIA CUDA or on cloud platforms. Your responsibilities will also include working with large datasets, applying data preprocessing techniques, and optimizing computer vision models for efficiency, accuracy, and real-time performance. Hands-on experience with machine/deep learning frameworks like Tensorflow, Keras, and PyTorch is required, along with expertise in identifying data imbalance, data compatibility, data privacy, data normalization, and data encoding issues. You will be involved in model selection, evaluation, training, validation, and testing, exploring different methods and scenarios for effective outcomes. In this role, you will have the opportunity to work in a dynamic environment with a focus on innovation and collaboration. The position offers a 5-day working week with flexible timings. While we are not currently hiring for the Computer Vision Engineer role, please check back later for potential opportunities to join our team.,

As a skilled professional in data handling and processing, you will demonstrate expertise in SQL Server and query optimization, ensuring efficient application data design and process management. Your knowledge in data modeling will be extensive, supported by hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric. Additionally, your familiarity with Azure Databricks will be utilized in your work. In the realm of data warehouse development, your proficiency in SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services) will be essential. You will excel in ETL processes, encompassing data extraction, transformation, and loading, including data cleaning and normalization. Moreover, your exposure to big data technologies like Hadoop, Spark, and Kafka will enable you to handle large-scale data processing efficiently. Your understanding of data governance, compliance, and security measures within Azure environments will be integral to your role. Furthermore, your expertise in data analysis, statistical modeling, and machine learning techniques will drive insightful decision-making. Proficiency in analytical tools such as Python, R, and libraries like Pandas and NumPy will be leveraged for data analysis and modeling. You will showcase a strong command of Power BI for data visualization, data modeling, and DAX queries, following best practices in the field. Implementing Row-Level Security in Power BI will be one of your key responsibilities. Handling medium-complex data models and quickly grasping application data design and processes will be part of your routine tasks. In addition to technical skills, you will lead a team of 4-5 developers, ensuring timely deliverables and fostering a culture of continuous learning. Your communication skills in English, both written and verbal, will be crucial for effective collaboration with customers. You will adeptly explain complex technical concepts to non-technical stakeholders, showcasing your ability to bridge the gap between technical and non-technical perspectives. Your proficiency in SQL, Azure Synapse Analytics, Azure Analysis Service, and Data Marts will enable effective data management. Utilizing ETL tools like Azure Data Factory, Azure Data Bricks, Python, and SSIS will streamline your workflow. Data visualization will be a key aspect of your role, with Power BI and DAX serving as your primary tools for creating impactful visual representations of data. Overall, as a data professional, you will be responsible for handling and processing data efficiently, leveraging your technical expertise and non-technical skills to drive valuable insights and support strategic decision-making.,

Role: S enior SOC Analyst, Alerts & Automation Standard Title: Senior Analyst, Cyber Defence (SOC) Location: Bangalore, India About Us Founded in 2014, Circles is a global technology company reimagining the telco industry with its innovative SaaS platform, empowering telco operators worldwide to effortlessly launch innovative digital brands or refresh existing ones, accelerating their transformation into techcos. Today, Circles partners with leading telco operators across multiple countries and continents, including KDDI Corporation, Etisalat Group (e&), AT&T, and Telkomsel, creating blueprints for future telco and digital experiences enjoyed by millions of consumers globally. Besides its SaaS business, Circles operates three other distinct businesses: Circles.Life: A wholly-owned digital lifestyle telco brand based in Singapore, Circles.Life is powered by Circles SaaS platform and pioneering go-to-market strategies. It is the digital market leader in Singapore and has won numerous awards for marketing, customer service, and innovative product offerings beyond connectivity. Circles Aspire: A global provider of Communications Platform-as-a-Service (CPaaS) solutions. Its cloud-based Experience Cloud platform enables enterprises, service providers and developers to deliver and scale mobile, messaging, IoT, and connectivity services worldwide. Jetpac: Specializing in travel tech solutions, Jetpac provides seamless eSIM roaming for over 200 destinations and innovative travel lifestyle products, redefining connectivity for digital travelers. Jetpac was awarded Travel eSIM of the Year. Circles is backed by renowned global investors, including Peak XV Partners (formerly Sequoia), Warburg Pincus, Founders Fund, and EDBI (the investment arm of the Singapore Economic Development Board), with a track record of backing industry challengers. What You&aposll Do As a Security Incident and SIEM Specialist , you will support Circles SOC team in areas such as cybersecurity incident response, SIEM alert creation, fine-tuning, and noise reduction. Your role includes managing threat intelligence, monitoring security events, investigating incidents, performing forensic analysis, and coordinating global incident response efforts. You will play a key role in enhancing SOC monitoring capabilities by optimizing alert quality and reducing false positives, thereby improving overall SOC efficiency and productivity. What Were Looking For Bachelor&aposs degree in Computer Science, Engineering, or related field (or equivalent experience). 2+ years of hands-on SOC or information security experience in a global IT environment. Experience with SIEM tools (Graylog, Splunk, ELK, Rapid7, LogRhythm, QRadar). Relevant certifications (GCIH, GCIA, Splunk/QRadar) are a plus. Key Responsibilities Triage and analyze security alerts, assess threats, and prioritize based on risk and impact. Execute incident response procedures and document findings clearly. Distinguish false positives from real threats using SIEM and security tools. Understand common attack vectors, TTPs, and apply contextual log analysis. Collaborate with cross-functional teams to ensure effective incident response. Stay updated on emerging threats and security trends. SIEM & Scripting Strong UNIX/Linux skills and proficiency in Bash or Python scripting. Skilled in RegEx, log parsing, pipeline creation, and data normalization. Experience in SIEM tuning, use case development, and alert optimization. Familiar with building and enhancing detection rules and threat analytics. Exposure to AI/ML for noise reduction and threat detection is a plus. Other Requirements Willingness to work in a hybrid setup and 24x7 environment. To all recruitment agencies: Circles will only acknowledge resumes shared by recruitment agencies if selected in our preferred supplier partnership program. Please do not forward resumes to our jobs alias, Circles employees or any other company location. Circles will not be held accountable for any fees related to unsolicited resumes not uploaded via our ATS. Circles is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, disability or age. Show more Show less

You are an experienced Machine Learning Developer currently seeking a long-term freelance opportunity with Norconsulting in Chennai, India, to work with a major Banking organization. As part of the development team, you will report to the project manager and technical leads in WBG. Your role will require a Bachelor's degree in Computer Science or Engineering, along with a minimum of 6 years of relevant work experience. You should have at least 3 years of hands-on experience as an AI/ML developer, focusing on real implementation projects. Expertise in Python is essential for this position. In this role, you will work on data normalization, data cleansing, and data validation techniques. You should possess a deep understanding of machine learning and AI technologies, with the ability to design, train, and implement machine learning models. Experience with ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary. Your responsibilities will include working with structured and unstructured data, as well as utilizing natural language processing techniques for automation. Knowledge of Azure-related AI/ML services is preferable. Experience in Python application and library development, as well as RESTful web service API development, is required. An understanding of the finance industry and familiarity with financial data sources are advantageous. Additionally, you should be well-versed in implementing best practices in the AI/ML domain. Experience with Azure Cognitive services like Language service, Form Recognizer, BOT framework, and Open AI is beneficial. Knowledge of Statistical Programming languages, Machine Learning, and Microsoft Data Certification are all considered advantageous for this position. If you are a skilled Machine Learning Developer looking to contribute to exciting AI/ML projects within the banking sector, this opportunity may be the perfect fit for you.,

Job Position: ServiceNow Developer ITIL/ITSM Location: PAN. Experience: -5+ to 10+ Years Must have: - ServiceNow ITIL/ITSM Expert Requirements : ServiceNow Implementation Specialist (CIS ITSM), Admin (CSA) and Developer (CAD) Certified on at least 1 ServiceNow Mainline certification e.g. CMDB, Discovery, Event, Workspace etc Knowledge of ITIL methodologies and processes and modules such as Asset, Incident, Change, Problem, Knowledge, and Service Catalog, aligning IT services with business objectives. Knowledge of Service Management (ITSM) processes, including Service Level Agreement (SLA) management and workflow monitoring, ensuring business objectives are met efficiently Experience in Asset management and CMDB Implementation and Data Normalization. Experience with Core module (Incident, Problem, Service Request, Knowledge, Change, Service Portal) and on Event management and Discovery Modules. Ability to create and Modify Workflows with experience in agent workspace design and implementation. Good at creating required information for Reporting, and Dashboards. Hands on experience with Java Scripting. Experience in application design, development and deployment with the Service-now platform. Experience in migrating data from different tools into ServiceNow. Show more Show less

You are looking for a Technical Consultant with a strong background in Informatica and Oracle, capable of comprehending intricate technical and architectural challenges and understanding the consequences of the chosen technical approach. In this role, you will engage with various levels of the technical and business communities, ensuring alignment and approval from all project stakeholders. A Bachelor's or Master's degree in Computer Science from a reputable university along with a minimum of 10 years of relevant industry experience is required for this position. The ideal candidate should exhibit expertise in Informatica, Oracle, Unix Scripting, Perl, and Scheduling tools like Autosys or Control. Proficiency in Database Design, Data Warehouse, Data Mart, Enterprise reporting, and ODS concepts is essential. You should possess advanced skills in Oracle PLSQL/T-SQL and have a proven track record of managing complete project lifecycles from requirements analysis to project delivery. Familiarity with Agile methodology is advantageous. Your responsibilities will include producing design and technical specifications, proposing solutions, estimating new projects, and collaborating with delivery managers, business analysts, and subject matter experts to design effective solutions. It is crucial to work closely with diverse teams such as Infrastructure, Testing, Reporting, and Enterprise groups to ensure the proposed solutions align with business needs. Strong expertise in data modeling, data normalization, and performance optimization techniques is expected. You will be required to establish standards, procedures, and best practices for data management, load processes, reconciliation, and exception handling. In addition, mentoring junior team members, providing guidance in solution development and troubleshooting, and fostering a collaborative work environment is vital. Exposure to building reporting solutions using tools like WebFocus or OBIEE is a plus. Excellent communication skills and knowledge of Fund accounting, Fund reporting, and derivative concepts are highly valued for this role. If you meet the qualifications and are interested in this opportunity, please reach out to jobs@augustainfotech.com. --- **Industry:** IT/Computers-Software **Role:** Technical Consultant **Key Skills:** Solution Architect, Informatica, Oracle, DWH, PL/SQL, Technical Architect, Unix Scripting, Perl, Autosys, Control-M, Database Design, Data Warehouse, Data Mart, Enterprise Reporting, ODS, T-SQL, Data Modeling, Data Normalization, Performance Optimization, OBIEE, WebFocus, Fund Account **Education:** B.Sc/B.Com/M.Sc/MCA/B.E/B.Tech **Email ID:** jobs@augustainfotech.com,

Your Tasks Onboarding of data sources: Collaborate closely with internal requesters to efficiently integrate new data sources into the log data infrastructure Management and configuration: Manage and configure the R&S Splunk infrastructure to ensure smooth operation and keep documentation up to date Monitoring: Continuously monitor log data systems and respond proactively to alerts Evaluating new technologies: Introduce new technologies to optimize services Automation: Support task automation through scripting (SPL, PowerShell, Bash, Kibana) Customer communication: Advise internal customers on specific requirements and develop customized solutions when required Your Qualifications In-depth knowledge of Splunk Enterprise , including architecture, implementation, setup, data onboarding, SPL, and dashboard design Experience in big data analysis and data normalization Familiarity with Elastic (ELK) Stack Knowledge of Windows Server and Red Hat Enterprise/CentOS Server administration Proficiency in GitOps and scripting with PowerShell/Windows CMD Experience with ITIL processes and ITSM tools such as ServiceNow and Jira Experience working in SCRUM/Agile teams and understanding of SCRUM principles 4 to 6 years of relevant experience

As a Python AWS Developer at Willware Technologies, you will need to have over 5 years of experience working with Python frameworks such as Django, Flask, and FastAPI, along with a strong expertise in AWS services. Your role will involve utilizing Python libraries like Pandas, NumPy, and SQLAlchemy, while designing, developing, and maintaining RESTful APIs. It is essential to have experience in API security, authentication, and authorization protocols such as OAuth and JWT. Additionally, hands-on experience in PL/SQL, including Packages, Functions, and Ref Cursors, is required for this role. You should possess a strong knowledge of Data Warehouse solutions, Datamart, and ODS concepts, along with an understanding of data normalization and Oracle performance optimization techniques. While not mandatory, good-to-have technical skills for this position include experience with Kubernetes for container orchestration, deploying, managing, and scaling applications on Kubernetes clusters, and proficiency in various AWS services like EC2, S3, RDS, and Lambda. Familiarity with Infrastructure-as-Code tools such as Terraform and CloudFormation, as well as knowledge of SnapLogic for cloud-native integration and designing integration pipelines, would be advantageous in this role.,

US Shift(Night Shift) 8+ yrs in Data Modeling, 3+ yrs in ER Studio (ERwin not preferred), strong in relational & dimensional modeling, normalization. HR & EPM experience is a plus. Skilled in metadata, data dictionaries, documentation, communication.

As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Expected to perform independently and become an SME, you will actively participate/contribute in team discussions and provide solutions to work-related problems. Your responsibilities will include assisting with the data platform blueprint and design, collaborating with Integration Architects and Data Architects, ensuring cohesive integration between systems and data models, implementing data platform components, and troubleshooting and resolving data platform issues. In terms of professional & technical skills, proficiency in Databricks Unified Data Analytics Platform is a must-have. You should have a strong understanding of statistical analysis and machine learning algorithms, experience with data visualization tools like Tableau or Power BI, and hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Furthermore, a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, is essential. The candidate for this position should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at the Bengaluru office and requires a 15 years full-time education.,

As the Director of Engineering for Connectors and Platform Integrations at our company, you will play a crucial role in leading and scaling our efforts to build high-impact integrations across cloud platforms, third-party applications (on-premises and cloud), security tools, and partner ecosystems. Your main focus will be to enhance the interoperability of the Qualys Enterprise TruRisk Platform with the broader security and IT operations ecosystem. You will be responsible for leading multiple engineering teams that are dedicated to developing scalable connectors, APIs, SDKs, and integration solutions. These solutions will empower our customers to extract maximum value from the Qualys Enterprise TruRisk Platform. The ideal candidate will have a proven track record in building and managing high-impact connectors in the cybersecurity domain. Your key responsibilities will include: - Leading engineering efforts for developing and maintaining connectors and integrations with third-party platforms, including cloud providers (AWS, Azure, GCP), security tools, ITSM systems, and other enterprise applications. - Building and nurturing technical partnerships with vendors, technology partners, and integration collaborators to expand the Qualys Enterprise TruRisk Platform ecosystem. - Collaborating with Cross-Functional Engineering Teams, Product Management, Solution Architects, and Sales Engineering teams to define integration strategies and prioritize development based on customer needs and strategic initiatives. - Overseeing the architecture and delivery of integration components to ensure they meet performance, scalability, and security requirements. - Managing, mentoring, and scaling high-performing engineering teams, with a focus on execution, innovation, and excellence. - Owning the roadmap and execution for integration-related initiatives, ensuring on-time delivery and alignment with business goals. - Acting as a senior technical leader, driving engineering best practices and fostering a culture of continuous improvement and collaboration. - Representing Qualys in partner-facing engagements, technical workshops, and integration strategy meetings. To qualify for this role, you should have: - 12+ years of experience in software engineering, with at least 5+ years in a senior leadership role. - A proven track record in building and delivering enterprise-scale platform integrations and connectors for technologies such as SIEM, SOAR, CMDB, Ticketing Systems, and ITSM integrations. - Strong experience working with cloud providers (AWS, Azure, GCP), RESTful APIs, webhooks, message brokers, and modern integration frameworks (Apache Camel, Apache NiFi). - Knowledge of API gateways, authentication protocols (OAuth, SAML), and integration security best practices. - Familiarity with data normalization, transformation, and sync mechanisms with Connector development. - Deep understanding of partner ecosystem management, including collaboration, co-development, and joint delivery. - Exposure to working with partner certification programs. - Excellent stakeholder management and communication skills; able to bridge technical and business conversations across internal and external teams. - Demonstrated ability to lead cross-functional initiatives and manage engineering teams in a distributed and agile environment. - Expertise with programming languages such as Java. - A Bachelors or Masters degree in Computer Science, Engineering, or a related field.,

You will be working as a Data Schema Designer focusing on designing clean, extensible, and high-performance schemas for GCP data platforms in Chennai. The role is crucial in standardizing data design, enabling scalability, and ensuring cross-system consistency. Your responsibilities will include creating and maintaining unified data schema standards across BigQuery, CloudSQL, and AlloyDB, collaborating with engineering and analytics teams to identify modeling best practices, ensuring schema alignment with ingestion pipelines, transformations, and business rules, developing entity relationship diagrams and schema documentation templates, and assisting in the automation of schema deployments and version control. To excel in this role, you must possess expert knowledge in schema design principles for GCP platforms, proficiency with schema documentation tools such as DBSchema and dbt docs, a deep understanding of data normalization, denormalization, and indexing strategies, as well as hands-on experience with OLTP and OLAP schemas. Preferred skills for this role include exposure to CI/CD workflows and Git-based schema management, experience in metadata governance and data cataloging. Soft skills like precision and clarity in technical documentation, collaboration mindset with attention to performance and quality are also valued. By joining this role, you will be the backbone of reliable and scalable data systems, influence architectural decisions through thoughtful schema design, and work with modern cloud data stacks and enterprise data teams. Skills required for this position include GCP, denormalization, metadata governance, data, OLAP schemas, Git-based schema management, CI/CD workflows, data cataloging, schema documentation tools (e.g., DBSchema, dbt docs), indexing strategies, OLTP schemas, collaboration, analytics, technical documentation, schema design principles for GCP platforms, and data normalization.,

As a Python AWS Developer at Willware Technologies, you will utilize your 5+ years of experience to work in a Hybrid / Full-time role in either Bangalore or Gurgaon. Your primary responsibilities will revolve around your strong expertise in Python frameworks such as Django, Flask, FastAPI, and AWS. You must also showcase proficiency in Python libraries like Pandas, NumPy, and SQLAlchemy. One of your key tasks will involve designing, developing, and maintaining RESTful APIs, while ensuring API security through authentication and authorization mechanisms like OAuth and JWT. Your hands-on experience in PL/SQL, particularly in Packages, Functions, and Ref Cursors, will be crucial for the role. Additionally, your strong knowledge in Data Warehouse solutions, Datamart, ODS concepts, data normalization, and Oracle performance optimization will be essential for success in this position. While not mandatory, having experience with Kubernetes for container orchestration and knowledge of deploying, managing, and scaling applications on Kubernetes clusters would be beneficial. Proficiency in AWS services such as EC2, S3, RDS, and Lambda, along with familiarity with Infrastructure-as-Code tools like Terraform and CloudFormation, will further enhance your capabilities. Moreover, any exposure to SnapLogic for cloud-native integration and designing integration pipelines would be considered a good-to-have skill. If you are a dynamic Python AWS Developer looking to contribute your technical skills in a fast-paced environment with a focus on cutting-edge technologies, this role at Willware Technologies is the perfect opportunity for you to grow and excel.,

The ideal candidate for the Azure Data Engineer position will have 4-6 years of experience in designing, implementing, and maintaining data solutions on Microsoft Azure. As an Azure Data Engineer at our organization, you will be responsible for designing efficient data architecture diagrams, developing and maintaining data models, and ensuring data integrity, quality, and security. You will also work on data processing, data integration, and building data pipelines to support various business needs. Your role will involve collaborating with product and project leaders to translate data needs into actionable projects, providing technical expertise on data warehousing and data modeling, as well as mentoring other developers to ensure compliance with company policies and best practices. You will be expected to maintain documentation, contribute to the company's knowledge database, and actively participate in team collaboration and problem-solving activities. We are looking for a candidate with a Bachelor's degree in Computer Science, Information Technology, or a related field, along with proven experience as a Data Engineer focusing on Microsoft Azure. Proficiency in SQL and experience with Azure data services such as Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics is required. Strong understanding of data architecture, data modeling, data integration, ETL/ELT processes, and data security standards is essential. Excellent problem-solving, collaboration, and communication skills are also important for this role. As part of our team, you will have the opportunity to work on exciting projects across various industries like High-Tech, communication, media, healthcare, retail, and telecom. We offer a collaborative environment where you can expand your skills by working with a diverse team of talented individuals. GlobalLogic prioritizes work-life balance and provides professional development opportunities, excellent benefits, and fun perks for its employees. Join us at GlobalLogic, a leader in digital engineering, where we help brands design and build innovative products, platforms, and digital experiences for the modern world. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers worldwide, serving customers in industries such as automotive, communications, financial services, healthcare, manufacturing, media and entertainment, semiconductor, and technology.,

Develop & support the Fidessa-based Cash Equities order management & execution platform enabling full trade lifecycle processing across global markets.Support highthrough put order Mgmt systems integral to equities trading Design & implement scalable Required Candidate profile Strong understanding of equities trading market microstructure & data normalization Tcl/Tk scripting,OA protocol; & reliable data stream architecture Unix Python; & Sybase DB Hands-on with CI/CD,Devop

The Technical Program Manager will assist in leading a team Infrastructure Engineering Organization and interface with Program Management The successful candidate for the TPM is to champion planning, coordination, monitoring network performance, and communication of the multidisciplinary / cross-functional team responsible for delivering a defined subsystem, products, and/or services as directed by the Integrated Product Team Lead Plans and coordinates all aspects of internal information system-specific projects from initiation to delivery Projects often involve network, server, or software implementation and upgrades, PC deployment and Datacenter Infrastructure management Should verify quality of various audits done across different data centers Should be able to identify and recommend subsequent tasks to improve objectives of these audits Coordinates work performed by IT staff and internal customers/partners by defining project requirements, performing feasibility and needs/impact assessments, Develops detailed project plans and manages all implementation processes, including resource allocation, progress tracking, monitoring change control process, testing, documentation, training and on-time delivery within budget constraints Projects may vary in number, size and complexity Gather and maintain project requirement lists Projects may vary in number, size and complexity Provides weekly project updates, including action item updates Identifies project issues, determines the right team member to provide a solution, or escalates the issue to the client manager Schedules and coordinates project reviews and follows up on assigned actions Create and maintain project schedules and status reports Assists in creation of project proposals and statements of work (SOW) Effectively and accurately communicate status to the project team Proficient in formulating Technical Documentations, process workflows, SOPs, and training documents Proficient in Data Normalization, Data interpretations & analysis, along with excel templates formulation skills Experience 12+ Years of relevant work experience Should have worked in datacenter environment working on break-fix tickets Should have performed audits in datacenter Minimum Qualification Bachelors in Engineering or Technology, along with Equivalent experience Skills Required Excellent communication skills (verbal and written) Ability to multitask and adapt to changing priorities Capable of managing high pressure and short timelines Be highly collaborative Have strong Excel Able to apply critical thinking and be resourceful and proactive when solving problems