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NextGen AVP Role - Pune Location
Job Description
Experience:
Should have subject matter expertise in cloud platforms (AWS, Azure & GCP), and next generation technologies
Should possess experience in designing and delivering architectural solutions for mission critical applications using cloud native development and architecture and cloud migration methodologies and tools
Demonstrated as a trusted advisor for customers on various Next Gen technology solution options and presented strong value proposition to win the deals
Experience is building differentiated solution & service offerings in building Next Gen Application development
Extensive experience in Presales, Solutioning, Delivery, People Management, Global experience and should be in a P&L role
Have experience leading complex, global solution implementations programs
Technology Experience:
Cloud Native App development, Microservices based enterprise grade application development, Serverless Computing, Containerization technologies
AWS, Azure, GCP and aPaaS platforms like Cloud Foundry
DevSecOps – CI/CD tool chain, API Management platforms
Database technologies – Structured & Unstructured data storage platforms
Expectations:
Responsible to formulate business development strategies for NextGen Application Development Technology practice
Create differentiated solution & Services offerings and translate into revenue growth
Drive strategic account growth and be responsible for the delivery of consulting services to our customers
Actively search for opportunities to expand business within existing accounts and help win new clients
Building new technology capabilities, and building team competencies
Marketing of technology & domain solutions / service offerings to internal/external stakeholders
Manage business relationship with the technology partners & start-up eco systems and demonstrate edge over competition
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Analyst Expectations
- To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
- Requires in-depth technical knowledge and experience in their assigned area of expertise
- Thorough understanding of the underlying principles and concepts within the area of expertise
- They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
- If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
- OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
- Will have an impact on the work of related teams within the area.
- Partner with other functions and business areas.
- Takes responsibility for end results of a team’s operational processing and activities.
- Escalate breaches of policies / procedure appropriately.
- Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
- Advise and influence decision making within own area of expertise.
- Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
- Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
- Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Make evaluative judgements based on the analysis of factual information, paying attention to detail.
- Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
- Guide and persuade team members and communicate complex / sensitive information.
- Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as an IFC - ETL Developer where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
To be successful as an IFC - ETL Developer you should have experience with:
- Ab-Initio design, develop, and maintain complex ETL processes and data flows using Ab-Initio platform.
- Unix, strong command-line proficiency for job scheduling, monitoring, and system administration.
- Python, develop scripts for data validation, automation, and integration tasks.
- Data Warehouse concepts/Design: Design and implement enterprise data warehouse solutions, dimensional modeling, star/snowflake schemas, and ETL architectures.
- Strong knowledge of data pipeline optimization, performance tuning, and data quality management, with a proven track-record of delivering scalable data warehousing solutions.
Some other highly valued skills include:
- AWS Cloud-based data storage and processing solutions.
- Hadoop Big data ecosystem for large-scale data processing and analytics.
- Strong problem-solving skills and ability to multi-task.
- Experience with integration of multiple data sources and toolsets.
Job title - Python developer
Exp – 4 to 6 years
Location – Pune/Mum/B’lore
PFB JD
Requirements:
- Proven experience as a Python Developer
- Strong knowledge of core Python and Pyspark concepts
- Experience with web frameworks such as Django or Flask
- Good exposure to any cloud platform (GCP Preferred)
- CI/CD exposure required
- Solid understanding of RESTful APIs and how to build them
- Experience working with databases like Oracle DB and MySQL
- Ability to write efficient SQL queries and optimize database performance
- Strong problem-solving skills and attention to detail
- Strong SQL programing (stored procedure, functions)
- Excellent communication and interpersonal skill
Roles and Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using pyspark
- Work closely with data scientists and analysts to provide them with clean, structured data.
- Optimize data storage and retrieval for performance and scalability.
- Collaborate with cross-functional teams to gather data requirements.
- Ensure data quality and integrity through data validation and cleansing processes.
- Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
- Stay up to date with industry best practices and emerging technologies in data engineering.
Position- Appian Developer
Experience- 8 to 12 years
Location- Onsite
Appian Skills:
Process Modeling and Workflow Automation: Candidates must showcase their understanding of Appian’s Process Modeler and demonstrate the ability to optimize execution paths and manage exceptions.
Data Integration and Management Expertise: This skill ensures that candidates can create secure API integrations and manage external data sources, crucial for maintaining data integrity and connectivity.
Scripting and Expression Rule Development: Evaluates the candidate’s capability to write expressions and scripts that extend application functionality.
Security and Access Control Management: Assess the ability to configure security roles and access permissions, ensuring that applications comply with organizational policies and protect sensitive data.
Appian Deployment and Performance Optimization: Ensures that applications are deployed efficiently and perform optimally. These skills are essential for designing, implementing, and managing scalable and efficient applications using Appian's low-code platform.
Job Description:
As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.
Responsibilities:
- Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
- Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
- Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
- Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
- Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.
Qualifications:
- BE Computer Science or a related field.
- ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
- Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
- Proficiency in DBT (Data Build Tool) for data transformation and modelling.
- Experience working with any Master Data Management (MDM) tools.
- Experience with data governance and metadata management tools such as Azure Purview or similar.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with big data technologies such as Hadoop, Spark, and Kafka.
- Strong leadership skills with the ability to lead and mentor a team of engineers.
- Design and implement effective database solutions and models to store and retrieve company data.
- Examine and identify database structural necessities by evaluating client operations, applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations.
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
- Oversee the migration of data from legacy systems to new solutions.
- Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
- Recommend solutions to improve new and existing database systems.
- Educate staff members through training and individual support.
- Offer support by responding to system problems in a timely manner.
About Us:
Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.
Varivas is an early-stage startup looking for its first few members.
https://www.varivas.community/
Become part of a core team of an upcoming startup building an exciting product from scratch.
Your Responsibilities:
- Write scalable backend code and audit existing backend code for sanity, performance and security
- Design and implementation of on-demand scalable, and performant applications.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Incidence management and root cause analysis
- Selecting and deploying appropriate CI/CD tools for various test automation frameworks
- Monitoring the processes during the entire lifecycle Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Achieve repeatability, fast recovery, best practices, and delegate proper ownership permissions to teams
- Analyzes the technology currently being used and develops plans and processes for improvement and expansion for better cost and efficiency
- Collaborate with and assist QA in performing load tests and assessing performance optimization
- writing and maintaining the DevOps processes in tools such as confluence
We are looking for someone who is:
- Ready to take complete ownership of the whole infra at Varivas
- Has previous experience in building and maintaining live production app
- You have an eye for detail.
- You’re a problem solver and a perpetual learner.
- You possess a positive and solution-oriented mindset.
- Good Problem-solving skills and troubleshooting
- Build high-performing web and native applications that are robust and easy to maintain
Our Current DevOps stack:
- Github/bitbucket
- Azure cloud storage
- MongoDB Atlas
- JIRA
- Selenium, cypress test automation
- Heroku/digital ocean
- GoDaddy
- Google Analytics/search console
- SendGrid
- sentry.io
- hotjar
What we can offer:
- Payment for work done (of course 🙂)
- Remote work from anywhere
- part time or full time engagement
- Complete flexibility of working hours
- Complete freedom and ownership of your work
- No meetings, standups, or daily status group calls. (We prefer asynchronous communication like slack)
Years of Experience – 2-3 years
Location – Flexible (Pune/Jaipur Preferred), India
Position Summary
At Clarista.io, we are driven to create a connected data world for enterprises, empowering their employees with the information they need to compete in the digital economy. Information is power, but only if it can be harnessed by people.
Clarista turns current enterprise data silos into a ‘Live Data Network’, easy to use, always available, with flexibility to create any analytics with controls to ensure quality and security of the information
Clarista is designed with business teams in mind, hence ensuring performance with large datasets and a superior user experience are critical to the success of the product
What You'll Do
You will be part of our data platform & data engineering team. As part of this agile team, you will work in our cloud native environment and perform following activities to support core product development and client specific projects:
• You will develop the core engineering frameworks for an advanced self-service data analytics product.
• You will work with multiple types of data storage technologies such as relational, blobs, key-value stores, document databases and streaming data sources.
• You will work with latest technologies for data federation with MPP (Massive Parallel Processing) capabilities
• Your work will entail backend architecture to enable product capabilities, data modeling, data queries for UI functionality, data processing for client specific needs and API development for both back-end and front-end data interfaces.
• You will build real-time monitoring dashboards and alerting systems.
• You will integrate our product with other data products through APIs
• You will partner with other team members in understanding the functional / nonfunctional\ business requirements, and translate them into software development tasks
• You will follow the software development best practices in ensuring that the code architecture and quality of code written by you is of high standard, as expected from an enterprise software
• You will be a proactive contributor to team and project discussions
Who you are
• Strong education track record - Bachelors or an advanced degree in Computer Science or a related engineering discipline from Indian Institute of Technology or equivalent premium institute.
• 2-3 years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL, data federation and distributed architectures
• Excellent Python programming skills. Familiarity with Scala and Java are highly preferred
• Strong knowledge and experience in modern and distributed data stack
components such as the Spark, Hive, airflow, Kubernetes, docker etc.
• Experience with cloud environments (AWS, Azure) and native cloud technologies for data storage and data processing
• Experience with relational SQL and NoSQL databases, including Postgres, Blobs, MongoDB etc.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc etc.
• Experience with Big Data processing and performance optimization
• Should know how to write modular and optimized code.
• Should have good knowledge around error handling.
• Fair understanding of responsive design and cross-browser compatibility issues.
• Experience versioning control systems such as GIT
• Strong problem solving and communication skills.
• Self-starter, continuous learner.
Good to have some exposure to
• Start-up experience is highly preferred
• Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.
• Agile software development methodologies.
• Working in multi-functional, multi-location teams
What You'll Love About Us – Do ask us about these!
• Be an integral part of the founding team. You will work directly with the founder
• Work Life Balance. You can't do a good job if your job is all you do!
• Prepare for the Future. Academy – we are all learners; we are all teachers!
• Diversity & Inclusion. HeForShe!
• Internal Mobility. Grow with us!
• Business knowledge of multiple sectors
JD for Below position-
Preferred Technical Expertise-
- Expertise in front end web application development
- Solid Understanding of Javascript, JQuery.
- Experience in HTML, CSS and Bootstrap library is required.
- Experience with Django Framework.
- Experience with source code versioning tools such as GIT, Bitbucket etc.
Secondary Skills/Good to have Skills:
- Experience in developing REST API is a plus.
- Experience in Python Programming is a plus.
- Experience in Pandas and Numpy Libraries is a plus.
- Experience with SQL is a plus.
- Experience with any cloud platform ( GCP is a plus )
Requirements:
- Educational Qualification: BCS, MCS, BCA, MCA or equivalent degree in trade/commerce stream with domain knowledge in indirect taxation.
- Prior work experience in tax software solution or tax advisory companies preferred.
- Ability to effectively service large portfolio of customers
- Excellence in Interpersonal Skills with strong command on spoken and written communication skills
- Ability to thrive in a multi-tasking environment
Roles and Responsibilities:
- Guide a team of customer support associates on customer issue investigation and resolution by applying understanding of GST compliance requirements, GSTN APIs, Eway Bill APIs and E-Invoicing APIs etc.
- Logging and keeping records of customer/employee queries
- Analysing call logs so you can spot common trends and underlying problems, to guide support team
- Updating self-help documents or preparing FAQ’s, to build knowledge base of support team on issues raised by ASP Partners and Corporates.
- Ensure timely response to customers with accurate guidance for issue resolution, by measuring the performance of support team on response SLA and quality of response.
- Manage ongoing interaction with key client relationships to build the relationship to level of being the preferred and only service provider for GST compliance requirements.
- Manage monthly billing operations across customer portfolio – including a good control on receivable ageing and reporting to management on realization delays which require management intervention.
- Manage regular interaction with GST Network for customer issues. Build a strong relationship with GST Network to achieve quicker turnaround from GSTN on deliverables.
- Keep a close watch on any updates from GSTN and/or the ASP-GSP ecosystem, to convey relevant updates to our customer portfolio.



