Salesforce Developer

About the Role

CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.

This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.

Technology Stack & Domain Knowledge

Core / Must-Have

• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)

• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.

• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.

• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.

• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.

• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.

• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.

• CI/CD experience and working with GitHub

• Full stack experience, specially with data centric apps/systems Strong Advantage

• Python (primary language for Data Commons import tooling and ML pipelines).

• TypeScript / React for the Data Commons web frontend and visualization layers.

• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.

• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.

• DataCommons Python / REST APIs and the DCID import automation tools.

• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.

Experience & Qualifications Required

• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.

• Demonstrable experience delivering production-grade systems on Google Cloud Platform.

• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.

• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.

• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.

• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.

• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan. 

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

I'm Hiring for a Telesales Representative Profile

Location: Jaipur, Rajasthan

Experience: 6 Months- 2 years

JOB DESCRIPTION: Telesales Representative

Requirements:

- Excellent communication and interpersonal skills.

- Prior experience in telesales or a related field is preferred.

- Ability to understand and convey pharmaceutical product information.

- Proficiency in using telecommunication and CRM software.

- Strong persuasive skills and ability to handle rejection.

Benefits:

- Competitive salary up to ₹18,000 per month.

- Incentives and bonuses based on performance.

- Opportunity for career growth within the company.

- Comprehensive training and support.

JOB DESCRIPTION

Senior fullstack Mobile Developer

Company Description

Building the future of meat and seafood supply chain.We are building smart supply chain to deliver the highest quality seafood and meat for the Indian consumer. Our innovations in process management and workforce orchestration along with strong industry credentials are enabling us to deliver the fastest harvest-to-fork in the industry.Our endeavor is to leverage experience across various parts of the value chain – farming, production, delivery to marquee brands – to deliver similar value to the Indian consumers.

Job Description

As a senior full stack developer, you will contribute to our end to end supply chain platform. You'll work with all key stakeholders to deliver scalable, maintainable code and deliver amazing user experiences. We are building a design and process centric culture where you'll play a key role in the implementation of the foundation of all our systems. Up for a challenge?

You are:

• A self starter with a sense of what it takes to be successful as a team
• Agile - welcome change, do as less as possible and embrace continuous delivery
• Conscious about how quality is carried through from the UI to all layers underneath
• Passionate about design as a foundation of great user experience
• Opinionated, but flexible to accommodate the big picture

Responsibilities

• Analyse requirements, provide estimates and deliver code in an agile setup
• Stay on top of all owned work and raise red flags as early as possible
• Define the architecture, best practices and coding standards for full stack development.
• Support continuous technical improvement by investigating alternatives and technologies and present them for architectural review 
• Motivate team members, coach junior members and extend goodwill to other employees

Qualifications

• Prior startup experience, preferably with war stories to share
• 3-5 years of software industry experience
• Solid understanding of software design, development, testing, and problem-solving 
• Expertise in coding efficient, high quality and modularized software 
• Expertise in React Native and related ecosystem
• Expertise in at least one of native Android or iOS development
• Experience with GraphQL and other modern JS ecosystems
• Expertise in common design patterns and anti-patterns Javascript
• Experience with service-oriented architecture and microservices
• Expertise in relational and non-relational databases and expertise in at least one database system
• Experience with planning, execution and maintenance of test infrastructure for backend workflows
• Knowledge of AWS
• Knowledge of Unix shell and source control systems and tools such as git 
• Strong technical leadership skills
• Strong communication skills
• Technical mentoring skills

Great to have

• Experience with CI/CD and setting up a monitoring infrastructure
• Experience with Flutter
• Interest in blockchain and computer vision related ML systems
• Experience working on high traffic systems
• Bachelor’s degree in Computer Science or a related discipline

• A Golang developer role is to build optimized, scalable, and modular software using required technologies. You are tasked with developing and coding back-end components and connecting applications to other web services.

• Research and test new technologies
• Collaborating with others to build and develop a quality
• Monitoring and Oversee company’s data
• Managing users and user roles
• Detecting, announcing, and correcting errors
• Proposing alternative solutions

• To cooperate with other stakeholder to design, develop, test, release and improve services
• Maintain development standards, practices & principles
• Build scalable and maintainable software
• Analytical approach on what and how

• At least 4 years of experience with Golang.
• Have expertise in implementing micro services (using tools and technologies for messaging, RPC, containerization, etc.)
• Experience working with SQL/NoSQL databases, ability to write complex queries and optimize them
• Understanding of containerization technologies (Docker, RKT, Kubernetes, etc.)
• Basic experience with CI/CD systems (Jenkins, TeamCity, GoCD, Concourse, etc.)
• Basic experience working with AWS/Google Cloud

Job Responsibilities:

• Developing and installing software solutions.
• Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.
• Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing, System Testing, UAT, Demos, POCs, installation, maintenance of Software modules.
• Software prototype.
• System Architecture.
• Software Design Document.
• User interfaces to be developed as per UX guidelines Code files ensuring coding guidelines followed.
• Code review artefacts during peer code review.
• Test plan and Test Cases.
• Installation / Deployment document Release Document.
• Technical Documentation.