
Role Description
This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.
Skill Name: GCP Data Engineer
Experience: 7-10 years
Notice Period: 0-15 days
Location :-Pune
If you have a passion for data engineering and possess the following , we would love to hear from you:
š¹ 7 to 10 years of experience working on Software Development Life Cycle (SDLC)
š¹ At least 4+ years of experience in Google Cloud platform, with a focus on Big Query
š¹ Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting
š¹ Experience in the Finance/Revenue domain would be considered an added advantage
š¹ Familiarity with GCP Migration activities and the DBT Tool would also be beneficial
You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.
Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..
Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

About Arahas Technologies
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Job description:
Key Responsibilities:
- Create well-researched and original technical content for blogs, websites, and articles
- Write clear, concise, and user-friendly content on technical topics
- Conduct basic keyword research and apply SEO best practices
- Optimize content using relevant keywords, meta descriptions, and formatting
- Collaborate with marketing and design teams to align content with strategy
- Edit and proofread content for accuracy, clarity, and consistency
- Stay updated with the latest trends in technology, SEO, and content marketing
Preferred Skills (Optional):
- Basic understanding of technical concepts (IT, software, web technologies, etc.)
- Familiarity with blogging platforms such as WordPress
- Basic knowledge of SEO tools (Google Keyword Planner, SEMrush, etc.)
- Understanding of digital marketing fundamentals
Must Have Skills:
- Experience with the .NET framework and .NET Core technologies: C#
- Writing and consuming REST API/Web API in .Net framework, .Net Core, EF Core
- Experience with frontend technology - ReactJS
- Knowledge of Reporting like Xtra Reports or PDF Generation Libraries
- Good knowledge and working experience in Microservice Architecture In Azure Cloud Env.
- Advanced understanding of Azure Web App, Azure Storage Accounts, Azure Databases (PostgreSQL, MS Sql), OAuth2 Authentication (Auth Flows)
- Strong understanding of OOPS Concepts
- Very Good understanding of common cloud patterns, like messaging (consuming + producing messages), scaling, api patterns, (for example: IOSP or SOLID), etc.
- Strong knowledge of Unit Testing Tools
- RDBMS Concepts, MS-SQL Server
- Writing & Optimizing SQL Queries for best performance
- Excellent Aptitude, Attitude and Communication Skills
Good to have Skills:
- Knowledge of HTML, Bootstrap, CSS, and Responsive Design
- Typescript / React and/or Terraform for IaC
- Enterprise service bus technologies, idelly Azure Serivce bus
- Knowledge in Azure hosting services
- Docker
- Entity Framework/LINQ, MVC
- Strong understanding of current design patterns & best practices
- Knowledge of Agile methodology and JIRA
- KnowledgeĀ CI/CDĀ pipelineĀ toĀ deployĀ applicationsĀ inĀ Azure
- Understand the architecture and design lingoes and work with lead developers
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Key Responsibilities:
- Convert design and architecture to code using best practices
- Able to troubleshoot and debug the code, write code with best coding practice and perform unit & Integration testing
- Design and develop software applications
- Work with Scrum Team to prioritize tasks and ensure deadlines are met
- Communicate and actively participate in client call and understand requirements
- Demonstrate expertise in a variety of software concepts (object-oriented design), practices (design patterns), and procedures (troubleshooting defects)
- Use and set-up CI/CD pipeline
Apply
Review Criteria:
- Strong Dremio / Lakehouse Data Architect profile
- 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
- Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
- Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
- Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
- Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
- Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
- Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
- Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies
Preferred:
- Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments
Role & Responsibilities:
You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.
- Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
- Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
- Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
- Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
- Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
- Support self-service analytics by enabling governed data products and semantic layers.
- Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
- Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.
Ideal Candidate:
- Bachelorās or Masterās in Computer Science, Information Systems, or related field.
- 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
- Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
- Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
- Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
- Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
- Excellent problem-solving, documentation, and stakeholder communication skills.
Preferred:
- Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
- Exposure to Snowflake, Databricks, or BigQuery environments.
- Experience in high-tech, manufacturing, or enterprise data modernization programs.
- Consistently embarking an excellent first impression on call, delivering exceptional customer experience
- Engage potential customers in dialogue that opens opportunities with the help of scripts and presence of mind
- Going an 'extra mile' to create happy customers to drive loyalty and increase repeat purchase
- Contacting prospective clients / existing customers to inform them about the product using scripts
- Accurately record details of communication with customers
- Developing and sustaining solid relationships with customers to encourage repeat business
- Answer questions about product features in an engaging manner
- Answer all customer questions honestly and accurately
- Using sales scripts drive sales and respond to customer objections
- Developing in-depth knowledge of products and services offered by us to make suitable recommendations based on customers' needs and preferences.
About us:
We are a team of software avengers, passionate engineers & thinkers designing the future of education. The company has its roots from IIT, IIM Alumni and various SMEs in education space. Here, we all work together with & for a single dream; āEducation For Everyone, Everywhere.ā
Dizvik is anĀ EdTech product-based tech start-upĀ working on exciting technologies & latest tech amendments.Ā We use technology as an effective & efficient tool to create things that are impactful & make education easier. Artificial Intelligence, Augmented Reality, Robust Media Streaming are few of our core areas.
We are a crazy bunch of people having multiple personas always trying to keep things light-hearted! Our roots are not new, the company is nurtured by the well established group excelling since 2003. The founders of Dizvik Technologies own multiple companies & one of those is Dhyeya Educational Services Private Limited (Dhyeya IAS) havingĀ more than 20 offline Institutes/Centers in India.
Role Description:
The ideal candidate will be responsible for designing and developing highly scalable, reliable and fault-tolerant micro-services based applications for the company. Using Node Js, Python, MongoDB, PostgreSql, JWT, Cassandra, AWS, Docker, Kubernetes, Kafka, Rabbitmq, Redis, Middlewares, CDN, Elasticsearch, this candidate will be able to translate user and business needs into functional and enterprise level product.
Salary Range:Ā 10 LPA to 25 LPA
Job Responsibilities:
- Designing and developing highly scalable, reliable and fault-tolerant backend architectures & applications for the company.
- Coordinate with cross-functional teams (Mobile, DevOps, Data, UX, QA, etc.) on planning and execution.
- Communicate, collaborate and lead the work & team effectively across distributed features
- Owning and working end-to-end on application ā from system (server, deployment, configuration management) to back end (container, application, and database).
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Requirements:
- Bachelorās degree or equivalent in Computer Science.
- 3+ years of experience in backend technologies: Node Js, Python, MongoDB, PostgreSql, JWT, Cassandra, AWS, Docker, Kubernetes, Kafka, Redis, Middlewares, CDN, Elasticsearch etc.
- Implementation of security and data protection.(CSRF/JWT/ORM and various middleware/DB security implementations).
- Strong problem-solving skills, algorithmic skills, and data structures experience.
- Ability to design and implement low latency RESTful services in Monolith & Microservice both the architectures.
- Data modelling experience in both Relational and NoSQL databases.
- Ability to understand and implement Continuous Integration and Continuous Delivery.
- Experience in troubleshooting server performance memory issues, GC tuning, resource leaks, etc.
- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks.
- Experience in versioning systems like GitHub, SVN, gitlab etc.
Kwanzoo is a B2B SaaS company that provides an Account-based Go-to-Market (GTM) platform and solutions to mid-to-large, global, B2B enterprises and high growth B2B SaaS startups. Some of our customers include large enterprises and mid-market companies such as Avalara, HCL, and Treasure Data, B2B SaaS Unicorns such as Blend and Highradius, and high growth B2B SaaS Startups including LevelOps, Solvvy, Unravel Data and Contrast Security.
We are looking for dynamic Inside Sales / Sales Development Representative(s) to contribute to our growth. These team members will play a critical role in expanding our presence across global markets, including the United States,UK, EU and APAC regions, by converting prospects into Qualified Sales opportunities.
The role is ideal for someone who has a knack for Sales, and wants to build a career in B2B enterprise software sales. We would ideally like to see some experience working with a B2B sales team, and demonstrated prospecting and organizational skills, with a sense of key metrics for success as an SDR.
This is an incredible opportunity for someone who is passionate about technology, has sold marketing and sales solutions, and can creatively consult with clients to convince them of the value we provide.
Qualifications/What we are looking forā¦.
- 2+Ā years of inside sales/ IT experience in prospecting / calling in the International Market (US/Europe/Australia) is preferred.Ā
- Bright entry-level candidates with less work experience will also be considered, provided they meet other qualifications listed below.
- Must be a Graduate (bachelorās degree) with no gap year
- Experience in using Microsoft tools(doc, excel, ppt etc.)
- Highly ambitious, energetic and organized in their work
- Strong spoken and written English language communication skills
- Spoken English easy to understand for overseas prospects (USA/Europe)
- Should be comfortable working across different time zones
- Self-starter, with ability to work with new tools and technologies
- Experience with Salesforce CRM (SFDC) a plus
- Experience in IT - Inside Sales is a plus
Academic Qualification: Any graduation with Bachelorās degree
Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā (Completed on or before June 2020)
Duties and Responsibilities
- Day-to-day sales activity management using Salesforce CRM (SFDC)
- Understand Kwanzoo offerings clearly in order to effectively communicate with prospects
- Validate and manage assigned Target Accounts on CRM
- Follow-up on incoming leads through form fills or hot leads from marketing email engagement to qualify prospectsĀ
- Proactive outreach to prospects via outbound emails and phone calls
- Implement effective multi-touch sales cadences of email/call/social outreach
- Create personalized emails to engage target accounts
- Utilize social selling techniques to expand the network and open up new opportunities
- Provide exceptional customer service to inbound inquiries
- Work closely with Sales Manager and drive engagement with individual buyers and buying groups at key Accounts
- Strive to meet or exceed prospecting goals on daily, weekly, monthly and quarterly basis
- Meet and exceed Quarterly revenue targets Weekly/Monthly/Quarterly reports and review
- Detailed documentation within SFDC
Note: Your work schedule will be a blend of daytime and late evening hours IST. You are expected to perform account research work during daytime hours IST, and outbound calling in the late evening hours IST to reach prospects in USA across time zones (Pacific, Central, Eastern) and other global geos
Location of Role : Remote work / work from anywhere in India for now
We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.
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Responsibilities:
- Management & scaling up existing infrastructure for high-frequency market data capture.
- Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
- Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
- This will involve studying the strategy development process and performance evaluation metrics.
- Develop autopilot risk-management systems to monitor live performance of the Portfolio.
- Improve the existing algorithms to achieve better execution price and reduce the latency.
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Requirements:
Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:
- High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
- Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
- Well-versed in software engineering principles, frameworks and technologies.
- The ability to manage multiple tasks in a fast-paced environment.
- Excellent analytical and problem solving abilities.
- A keen interest in learning about the financial markets.
- If you are interested in creating a user-friendly environment by writing code and moving forward in your career, then this job is for you.
- Collaborate with back-end developers and web designers to improvenusability.
- Writing tested and idiomatic JavaScript, HTML and CSS.
- Present key milestone deliverables to peers and execute level stakeholders.
- Build reusable code and libraries for future use.
- Tech-savvy professional, who is curious about new digital technologies and aspires to combine usability with visual design.
WHY SPRINKLR WILL LOVE YOU
- Bachelor's Degree in Computer Science
- 1-5 years of professional software development experience
- Experience with ES2015+, React, Webpack/Rollup, CSS, Node.js, Object oriented JS, FP in JS, TDD/BDD, Git, CSS
- Ability to write clean, effective code
- Strong problem solving and troubleshooting skills
- Ability to work independently in a fast-paced environment with frequent production releases
- Understanding of performance and efficiency with a strong customer focus
- Work cross functionally to collaborate with designers o iterate on the design and implementation of our product
- Be empathetic towards customers and appreciate the user's experience







