Tata Consultancy Services
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Mainframe Developer Job Description
A Mainframe Developer is responsible for designing, developing, and maintaining software applications on mainframe systems. Here's a brief overview:
Key Responsibilities
- Application Development: Develop and maintain mainframe applications using languages like COBOL, PL/1, or Assembler.
- Code Maintenance: Perform code reviews, debugging, and optimization to ensure high-quality code.
- System Integration: Integrate mainframe applications with other systems and technologies.
- Testing and Quality Assurance: Test and validate mainframe applications to ensure they meet business requirements.
- Troubleshooting: Troubleshoot mainframe issues and resolve technical problems.
Technical Skills
- Mainframe Systems: Strong understanding of mainframe systems, including z/OS, z/VM, or z/VSE.
- Programming Languages: Proficiency in mainframe programming languages like COBOL, PL/1, or Assembler.
- Database Management: Knowledge of mainframe database management systems like DB2 or IMS.
- Job Scheduling: Familiarity with job scheduling tools like CA-7 or Control-M.
- Security: Understanding of mainframe security concepts and best practices.
Machine Learning (ML)Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP 2. Stay up to date on the latest AI emergences relevant to the business domain. 3. Conduct research and development processes for AI strategies. 4. Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. 5. Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus
Good-to-Have 1. Have knowledge of software development methodologies, such as Agile or Scrum 2. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. 3. Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face 4. Ensure the quality of code and applications through testing, peer review, and code analysis. 5. Root cause analysis and bugs correction 6. Familiarity with version control systems, preferably Git. 7. Experience with building or maintaining cloud-native applications. 8. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus
SN Role descriptions / Expectations from the Role
1 Design, Develop and configure GenAI applications to meet the business requirements.
2 Optimizing existing generative AI models for improved performance, scalability, and efficiency
3 Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation
- Work with the team in capacity of GCP Data Engineer on day-to-day activities.
- Solve problems at hand with utmost clarity and speed.
- Work with Data analysts and architects to help them solve any specific issues with tooling/processes.
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python/Java/React.js, AirFlow ETL skills - GCP services (BigQuery, Dataflow, Cloud SQL, Cloud Functions, Data Lake.
- Design and build production data pipelines from ingestion to consumption within a big data architecture.
- GCP BQ modeling and performance tuning techniques.
- RDBMS and No-SQL database experience.
- Knowledge on orchestrating workloads on cloud.
Very good understanding of Azure Monitor, Log Analytics, Alerting, Dashboards & Workbooks.
Good working knowledge of Kusto Query Language (KQL) or Python for data analysis and querying.
Good working knowledge of Azure Functions for automation.
Apply Powershell programming skills to develop clean code that is stable, consistent, and well[1]performing.
Knowledge of Terraform, ARM or Bicep for infrastructure as code.
GitHub/Gitlab for devops pipelines.
Experience in monitoring infrastructure, managing escalations, and ensuring timely issue resolution to maintain operational stability and stakeholder satisfaction.
Good-to-Have
Knowledge of Terraform, ARM or Bicep for infrastructure as code
Teradata Developer Job Description
A Teradata Developer is responsible for designing, developing, and implementing data warehousing solutions using Teradata. Here's a brief overview:
Key Responsibilities
- Data Warehousing: Design and develop data warehousing solutions using Teradata.
- ETL Development: Develop ETL (Extract, Transform, Load) processes to load data into Teradata.
- SQL Development: Write complex SQL queries to support business intelligence and reporting.
- Performance Optimization: Optimize Teradata database performance for fast query execution.
- Data Modeling: Design and implement data models to support business requirements.
Technical Skills
- Teradata: Strong understanding of Teradata database management system.
- SQL: Proficiency in writing complex SQL queries.
- ETL: Experience with ETL tools like Informatica PowerCenter or Teradata PT.
- Data Warehousing: Knowledge of data warehousing concepts and best practices.
- Data Modeling: Understanding of data modeling concepts and techniques.
Responsibility of / Expectations from the Role
1 Driving the Informatica changes and supporting production issues.
2 Customer interaction as required
3 Requirement gathering and analysis
4 Resolution of Server related issues, GUI related issues
5 Taking the end to end ownership of Informatica changes.
Role descriptions / Expectations from the Role
Develop, deploy, and maintain Power Platform solutions, including canvas apps, model-driven apps, and flows.
Collaborate with cross-functional teams to define, design, and ship new features.
Troubleshoot and resolve issues related to Power Platform applications.
Ensure the security, scalability, and reliability of Power Platform solutions.
You will be joining a fast-growing product team within the End User Technology Services organisation. You will be part of the build out of the capability in the region and you will liaise with our customers across all the LEADING BANK business lines
DataStage Developer Job Description
A DataStage Developer is responsible for designing, developing, and implementing data integration solutions using IBM InfoSphere DataStage. Here's a brief overview:
Key Responsibilities
- Data Integration: Design and develop data integration jobs using DataStage to extract, transform, and load (ETL) data from various sources.
- Job Development: Develop and test DataStage jobs to meet business requirements.
- Data Transformation: Use DataStage transformations to cleanse, aggregate, and transform data.
- Performance Optimization: Optimize DataStage jobs for performance and scalability.
- Troubleshooting: Troubleshoot DataStage issues and resolve data integration problems.
Technical Skills
- DataStage: Strong understanding of IBM InfoSphere DataStage and its components.
- ETL: Experience with ETL concepts and data integration best practices.
- Data Transformation: Knowledge of data transformation techniques and DataStage transformations.
- SQL: Familiarity with SQL and database concepts.
- Data Modeling: Understanding of data modeling concepts and data warehousing.
Python
Django
FlaskPython Developer Job Description
A Python Developer is responsible for designing, developing, and deploying software applications using the Python programming language. Here's a brief overview:
Key Responsibilities
- Software Development: Develop high-quality software applications using Python.
- Problem-Solving: Solve complex problems using Python programming language.
- Code Maintenance: Maintain and update existing codebases to ensure they remain efficient and scalable.
- Collaboration: Collaborate with cross-functional teams to identify and prioritize project requirements.
- Testing and Debugging: Write unit tests and debug applications to ensure high-quality code.
Technical Skills
- Python: Strong understanding of Python programming language and its ecosystem.
- Programming Fundamentals: Knowledge of programming fundamentals, including data structures, algorithms, and object-oriented programming.
- Frameworks and Libraries: Familiarity with popular Python frameworks and libraries, such as Django, Flask, or Pandas.
- Database Management: Understanding of database management systems, including relational databases and NoSQL databases.
- Version Control: Knowledge of version control systems, including Git.
Key Responsibilities:
- Act as the primary liaison between the customer and the ServiceNow implementation team during the co-creation phase.
- Facilitate workshops and interviews to understand the customer’s business needs, pain points, and objectives.
- Build trust and rapport with stakeholders to encourage open communication.
- Evaluate the customer’s existing ITSM, ITOM, HR, or other enterprise tools.
- Document current workflows, integrations, and pain points with the existing tools.
- Identify redundant tools and processes that can be streamlined with ServiceNow.
- Collect and analyze functional and technical requirements for the ServiceNow implementation.
- Prioritize requirements based on customer goals, compliance needs, and business impact.
- Translate business requirements into actionable technical solutions.
- Compare the customer’s current toolset and processes against ServiceNow’s capabilities.
- Identify gaps, limitations, and opportunities for enhancement using ServiceNow modules and custom applications.
- Work with the customer to co-create a high-level architecture and roadmap for the ServiceNow implementation.
- Propose relevant ServiceNow modules and custom solutions to address identified gaps.
- Ensure alignment with the customer’s enterprise architecture and long-term goals.
- Prepare detailed assessment reports, including findings, proposed solutions, and implementation plans.
- Document key decisions, risks, and dependencies during the co-creation phase.
- Work closely with ServiceNow Architects, Developers, and Product Owners to refine the proposed solution.
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Syfe is a digital investment platform with a mission to empower people to grow their money confidently and choose the future they want to live in. Built on the pillars of advice, access, and innovation, we cater to the full spectrum of an individual's wealth needs across diversified proprietary portfolios, cash management solutions, and a state-of-the-art brokerage.
The Syfe team combines world-class financial expertise with best-in-class technology talent. Excellence in execution is in our DNA and we offer equity ownership to all employees regardless of seniority and designation.
We are regulated by the financial authorities across Singapore, Hong Kong, and Australia. In Singapore alone, where we are headquartered, over 100,000 investors trust Syfe to grow their wealth.
Since its founding, Syfe has raised the US $52.4 million from world-class investors. The company has won multiple awards including Wealth Management Fintech of the Year by the Asian Banking and Finance Awards 2022, as well as being recognized as one of the Top LinkedIn Startups in Singapore 2022.
Find out more about us at www.syfe.com.
Press links - Bloomberg, Business Times, TechCrunch
Who are we:
While we are a diverse set of people, we value the following core traits:
- Fast learning: We often require learning new tools and technologies. We believe in adopting them if they are particularly well suited for our problems, instead of limiting ourselves to what we already know. However, we are always short of time and therefore have to learn fast.
- Versatility: While each one of us has a core skill, we possess at least one secondary skill as well. Apart from allowing the team to be fluid, it also helps us understand how all pieces (frontend, database, network, servers, etc.) fit together.
- Madness about quality: Put together, individual lines of code should be robust, scalable, high-performance, fault-tolerant, and most importantly, beautiful software. We also stay up-to-date with the latest in the world of software to make ourselves better.
- Passion: To try out new ideas and iterate on existing product features, and love experimenting with new technology if it's right for the job. Because not only do we ride the cutting edge, we make it happen.
- Collaboration: We believe that engineering is a continuous process of learning and improvement and that the best way to learn is by getting help from your fellow engineers. Coding is more fun when you do it together and appreciate the feedback.
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- Varun Sharma: CEO & Co-Founder, formerly at Microsoft.
- Ashish Kurmi: CTO & Co-Founder, with experience at Plaid, Uber, and Microsoft.
Advisors:
- Sekhar Sarrukai, David Cross, Gagan Gulati, Jordan Harband, Ram Shankar Siva Kumar.
Investors:
StepSecurity is backed by leading VCs and notable angel investors, including Anmol Malhotra (Coinbase), Ash Devata (GreyNoise), and David Cross (Rain Capital).
Funding raised: $3M - Seed Funding
For more detailed information, visit - https://www.stepsecurity.io/team
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