
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.

About Intellikart Ventures LLP
About
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- 3+ Years of designing and developing using AngularJS
- Writing JavaScript, TypeScript, CSS, and HTML.
- Knowledge of JavaScript MV-VM/MVC frameworks including Angular JS.
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- Good communication skills.
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Technical Skills Required
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Business Development Executive
Accountability: Customer Acquisition, Customer Relationship Management and Revenue Generation
Experience: 0 - 3 Years
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- Ensuring that the customers information is maintained and updated in CRM
- Ensuring high customer retention through customer service, consistent engagement and taking periodic feedbacks from the customer
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- MBA / MCom / MA-Economics/ MMS/ BBA/ Bcom/ BMS
- Experience of working in BFSI/Stock Advisor would be an added advantage
Competencies:
- Strong Communication skills and self-motivated
- Needs to be innovative and bring new ideas to keep inclining the sales techniques
- Proficiency in using MS Office (Word, Excel, Power Point, etc.)
- Excellent analytical skills and Negotiation skills
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What a candidate will get?
- Working with a professionally managed organization. Technology & Productivity driven approach
- Clear roadmap about organizations, functions, employee’s career progression
- A well-established brand and business model which needs to be taken to the next level


We have an Excellent job Opportunity for "Applied Machine Learning Engineer" with one of thr Product based organization for Remote Working Mode or for Mumbai Location.
Job Responsibilities:
- Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
- Understanding the business objectives & defining the right target metrics to track performance & progress.
- Defining & building datasets with the appropriate representation techniques for learning.
- Training & tuning models. Running evaluation & test experiments on the models.
- Build ML pipelines end to end. (Everything MLOps.)
- Building pipelines for the various stages.
- Deploying models.
- Troubleshooting issues with models in production.
- Reporting results of model performance in production.
- Retraining, performance logging & maintenance.
- Help the business with insights for better decision-making. You will build many predictive models for internal business operations
you will derive insights from the trained models & data to help the product & business teams make better decisions.
Requirements:
- 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
- Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
- Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
- Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc. Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
- Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
- Experience with ML infrastructure & shipping models.
- Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
- Strong understanding of database systems & schema design. Proficient in SQL
Please let us know if you are interested in the above opening and if interested please let us know your
Current CTC :
Expected CTC :
Notice Period :
Relevant experience in Machine Learning :
Relevant experience in Deep Learning:
Relevant experience in NLP Applications:
Regards
Ashwini
We are seeking a talented QA automation engineer to design testing procedures for our software applications. In this role, will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs, install databases, and collaborate with the software design team.
To ensure success as a QA automation engineer, you should have advanced programming skills, a keen eye for detail, and excellent project management skills. A skilled QA automation engineer can design and write efficient test procedures for every software application.
QA Automation Engineer Responsibilities:
- Meeting with the software design team to discuss verification protocols.
- Identifying software application weaknesses and target areas.
- Sketching out ideas for automated software test procedures.
- Reviewing software bug reports and highlighting problem areas.
- Writing automation scripts and implementing software applications.
- Designing and installing software databases.
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- Identifying quality issues and creating test reports.
- Collaborating with the design team to solve application faults.
QA Automation Engineer Requirements:
- Bachelor’s degree in computer science, software engineering, or a similar field.
- Previous experience working as a QA automation engineer.
- Advanced programming skills including automation systems and databases.
- Must have worked on Selenium,Cucumber,Maven
- Familiarity with programming script languages including Java and VBScript.
- Excellent analytical skills.
- Detailed knowledge of application functions, bug fixing, and testing protocols.
- Good written and verbal communication skills.
- Strong attention to detail.
- Good project management skills.


Objective of the Role:
We are here to build a world-class tech organization with elite engineers and change-agents who would spearhead this change. Currently, we are looking for engineers who are skilled, passionate, driven and a wee bit crazy (yes, crazy works!) to join our tribe. The current position is for the supply chain teams and our primary focus is on scale and cost optimization. The small tweaks you make, the processes you alter, experiments you run and the business decisions you drive will have reverberating effects on our ability to add value to our customers and keep them coming back for more.
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- Design and build the system which enables the logistics team to store and deliver 15 million products per month to customers across 20 cities in India
- Work on the vision, roadmap, and processes that make customer delivery experience more delightful
- Work across teams to design a platform that scales and is flexible enough for various kinds of future scenarios
- Work on optimizing the whole logistics supply chain from warehouse to customer
- Innovate to improve the efficiency of the existing supply chain systems
Desired skills & abilities: - 3-6 years of experience in software development
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
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- Experience with cloud message APIs and usage of push
- Knowledge of code versioning tools such as Git, Mercurial or SVN
- Solid experience in software development practices
- Ability to mentor and manage teams
- Exposure to Agile/Scrum and Design thinking approaches
The right candidate will have strong development skills, the ability to learn new programming skills and tools quickly and independently, and strong verbal and written communication skills.
The developer will be responsible for new design and development
Technical Skills:
• Strong experience using Eclipse IDE.
• Working experience with Spring Boot, Hibernate, XML, Log4J and JDBC is required.
• Experience with Restful Webservices is a must.
• Experience with AngularJS is a plus.
• Experience with Oracle database is a plus.
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Minimum Requirements:
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• Must strive for results.
• Ability to work as team player in medium to large team environments.
Additional Knowledge & Skills:
• Strong analysis/problem solving experience to deal with complex business problems.
• Demonstrated ability to work in a team environment to meet critical deliverable dates.
• Excellent communication, presentation, and writing skills.
• Excellent interpersonal skills and organizational skills.
• Must be a detail oriented, analytical and an independent thinker.
• E-Commerce experience is a plus.
• Experience working in SVN, Jira is a plus."

