Azure Architect

Key Responsibilities

• Source candidates using job portals, LinkedIn, and other platforms
• Screen resumes and shortlist potential candidates
• Conduct initial HR screening calls
• Schedule and coordinate interviews with hiring managers
• Maintain and update candidate data in recruitment trackers
• Assist in employer branding and candidate engagement initiatives
• Support the HR team in daily recruitment activities

Requirements

• Excellent communication skills (spoken & written English)
• Strong interpersonal skills and attention to detail
• A personal laptop and stable internet connection
• Willingness to work from office (HSR Layout, Bangalore)
• Ability to work in a fast-paced, startup environment
• Freshers or final-year students with HR interest are welcome

Perks & Benefits

• ₹10,000/month stipend
• Hands-on training in full-cycle recruitment
• 1-on-1 mentorship from experienced professionals
• Certificate of internship
• Opportunity to convert to a full-time role based on performance
• Fast-paced learning & exposure to startup cultur

A candidate with 2 to 6 years of relevant experience in Snowflakes Data Cloud.

Mandatory Skills:

• Excellent knowledge in Snowflakes Data Cloud.

• Excellent knowledge in SQL

• Good knowledge in ETL

• Must have working knowledge of Azure Data Factory

• Must have general awareness of Azure Cloud

• Must be aware of optimization techniques in Data retrieval and Data loading.

• Execute social media design projects, while working closely with the content team.
• Design original pieces, including illustrations and infographics in line with trends in social media.
• Refine images, fonts, and layouts using graphic design software
• Apply typography techniques
• Video editing, reels edits and other related works like captioning videos
• Maintain brand consistency throughout all our marketing projects
• Liaise with marketing and design teams to ensure deadlines are met
• Keep track of new content and tools across social media platforms, analysing what's working and what's not.

• Paint by hand and use drawing applications to design original graphics

• Work experience as a Designer intern, Graphic Designer, or similar role if any
• Portfolio of completed design projects
• Hands-on experiences with image editing software, like Photoshop and Adobe Illustrator
• Proficient in design software (e.g. InDesign, Figma and Balsamiq)
• Strong aesthetic knowledge with the ability to combine various colors, fonts, and layouts
• Attention to visual details
• Ability to meet deadlines and collaborate with a team
• BSc degree in Design, Visual Arts or relevant field if any.

Job functions/Description:

• Work on building custom web pages and websites for departmental applications.
• Work on improvements to existing web pages and sites, as well as connecting to backend databases to extract and store data.
• Build reports as needed for user requirements.
• Evaluate new technologies around reporting, low-code webpage development and others.
• Assist team lead in testing new enhancements to our websites and reporting solutions.
• Test of the website enhancements that we are doing, especially from a compliance/audit perspective.
• Support and ongoing patching/maintenance of our systems.

Must to have skills : 

• .NET – mandatory skill
• C#, ADO.net, MVC 
• SQL Server, T-SQL, stored procedure
• Javascript, jQuery
• AWS – important, but can learn on the job.
• Power BI – Very important skill, but can learn on the job

Must to have skills : 

• .NET – mandatory skill
• C#, ADO.net, MVC 
• SQL server, T-SQL, stored procedure
• Java script, jQuery
• AWS – important, but can learn on the job.
• Power BI – Very important skill, but can learn on the job

• Designing the Mobile Application for our product offering
• Communicating effectively in a cross-functional product development team and present ideas and designs effectively.
• Identifying and correcting bottlenecks and fixing bugs
• Helping maintain code quality, organization, and automatization

• 3+ years experience leading a team of DevOps engineers
• 8+ years experience managing DevOps for large engineering teams developing cloud-native software
• Strong in networking concepts
• In-depth knowledge of AWS and cloud architectures/services.
• Experience within the container and container orchestration space (Docker, Kubernetes)
• Passion for CI/CD pipeline using tools such as Jenkins etc.
• Familiarity with config management tools like Ansible Terraform etc
• Proven record of measuring and improving DevOps metrics
• Familiarity with observability tools and experience setting them up
• Passion for building tools and productizing services that empower development teams.
• Excellent knowledge of Linux command-line tools and ability to write bash scripts.
• Strong in Unix / Linux administration and management,

KEY ROLES/RESPONSIBILITIES:

• Own and manage the entire cloud infrastructure
• Create the entire CI/CD pipeline to build and release
• Explore new technologies and tools and recommend those that best fit the team and organization
• Own and manage the site reliability
• Strong decision-making skills and metric-driven approach
• Mentor and coach other team members

• Writing well-designed, stable and efficient code
• Building reusable components and libraries for future
• Troubleshooting and debugging to optimize performance
• Providing code documentation and other inputs to technical documents
• Participating in code reviews
• Troubleshooting and bug fixing
• Identifying bottlenecks and improving software efficiency
• Collaborating with the design team on developing micro-services

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint