
Data Engineer
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.

Similar jobs
* Candidates must have Real Estate Knowledge,
* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.
* Should have a minimum experience of 2 to 4 years in CRM and managing teams.
* handled Real Estate CRM.
Preferred candidate profile
* Candidate must have Real Estate Knowledge with min 2 - 4 years of experience.
* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.
* Collections, preparation documentation, Bank docs.
Overview
Apiwiz (Itorix Inc) is looking for software engineers to join our team, grow with us, introduce us to new ideas and develop products that empower our users. Every day, you’ll work with team members across disciplines developing products for Apiwiz (Itorix Inc). You’ll interact daily with our product managers to understand our domain and create technical solutions that push us forward. We want to work with other engineers who bring knowledge and excitement about our opportunities.
You will impact major features and new product decisions as part of our remarkably high performing, collaborative team of engineers who thrive on the business impact of their work. With strong team support and significant freedom and self direction, you will experience the wealth of interesting, challenging problems that only a high growth startup can provide.
Roles & Responsibilities
- Build, configure, and manage cloud compute and data storage infrastructure for multiple instances of AWS and Google Cloud Platform.
- Manage VPCs, security groups, and user access to our various public cloud systems and services.
- Develop processes and procedures for using cloud-based infrastructures, including, access key rotation, disaster recovery, and building new services.
- Help the business control costs by categorizing and tagging assets running in the cloud.
- Develop scripts and workflows to manage cloud computing systems
- Provide oversight on log aggregation and application performance monitoring surrounding our production environments.
What we’re looking for
- 2-3 years of experience in the provision, configuring, administrating, automating, monitoring, and supporting enterprise Cloud services
- Strong experience in designing, building, maintaining and securing AWS resources for high-availability and production level systems and services
- Familiar with Cloud concepts with practical hands-on experience on any Cloud Platform.
- Hands-on experience with AWS services like Elastic Compute Cloud (EC2), Elastic Load-balancers, S3, Elastic File system, VPC, Route53, and IAM.
- Providing 24/7 support for the application and Infrastructure support
- Prior experience using infrastructure as a code software tool like Terraform.
- Knowledge in software provisioning, configuration management, and application-deployment tools like Ansible.
- Working knowledge of container technologies like Docker & Kubernetes cluster operations.
- Familiarity with software automation tools Git, Jenkins, Code Pipeline, SonarQube
Summary:
The Learner Company is an education start-up that designs personalized learning experiences by integrating them with the best of what technology offers. We are currently building an online learning engine to host adaptive online courses, simulations, and multiplayer games for institutional partners. We are now in the software development stage of the project.
We are looking for a full-stack developer to join our development team. The developer will be responsible for the overall development and implementation of front and back-end software applications. Their responsibilities will extend from designing system architecture to high-level programming, performance testing, and systems integration.
We are looking for an individual who is optimistic about technology and people, is open to and excited by new ideas, and considers themselves a life-long learner.
Responsibilities:
- Meeting with the software development team to define the scope and scale of software projects.
- Designing software system architecture.
- Completing data structures and design patterns.
- Designing and implementing scalable web services, applications, and APIs.
- Developing and maintaining internal software tools.
- Writing low-level and high-level code.
- Troubleshooting and bug fixing.
- Identifying bottlenecks and improving software efficiency.
- Collaborating with the design team on developing micro-services.
- Writing technical documents.
Required Competencies:
- Bachelor’s degree in computer engineering or computer science.
- Previous experience as a full stack engineer.
- Advanced knowledge of front-end languages including HTML5, CSS, TypeScript, JavaScript, C++, JQuery, React.js and Next.js.
- Knowledge of relational database systems and SQL.
- Familiarity with AWS architecture and working knowledge of services like S3, SES, EC2, RDS and more.
- Proficient in back-end languages including Java, Python, Rails, Ruby, .NET, and PHP.
- Advanced troubleshooting skills.
- Familiarity with MS Word, Excel, PowerPoint, Notion, Veed.io, Linear, Intercom, Plateau, and Miro.
- A strong belief that a team as a whole is greater than the sum of its parts.
- Excellent leadership, communication, and organization skills
Experience Needed: 2+ Years
Location: Bengaluru
- Meeting with the software development team to define the scope and scale of software projects.
- Designing software system architecture.
- Completing data structures and design patterns.
- Designing and implementing scalable web services, applications, and APIs.
- Developing and maintaining internal software tools.
- Writing low-level and high-level code.
- Troubleshooting and bug fixing.
- Identifying bottlenecks and improving software efficiency.
- Collaborating with the design team on developing micro-services.
- Writing technical documents.
Location: Bangalore
Immediate joiners to 15 days joiners preferred
Skills: C#, ASP.NET, ENTITY FRAMEWORK, Dotnet fullstack development
-B2B-ACCELERATOR, Hybris back-office, Hybris Frontend WCMS cockpit, product
cockpit, Hybris, Hybris core, Hybris Commerce, Hybris Search
Experience working on Java, J2EE, Spring, Web Services (SOAP, REST), Design
Patterns, Apache, Tomcat, Build Tools- Ant/Maven/Jenkins, SCM Tools
CVS/SVN/GIT Hub
Knowledge of one or more modules: HYBRIS-OCC, HYBRIS-PIM, HYBRIS-
PROMOTIONS
Additional skills in SOA, ESB, JMS
Passionate about writing world-class code
High level of commitment to client satisfaction and agility
Collaborate with others and build positive working relationships
Possess a strong work ethic
Strong written and verbal communication skills
Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.
Summary
This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.
Essential/Primary Duties, Functions and Responsibilities
The essential duties and responsibilities of this position are as follows:
- Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
- Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
- Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
- Create and maintain optimal AWS data pipeline architecture
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
- Work with data and analytics experts to strive for greater functionality in our data systems
Requirements
- A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
- Experience with data lake and/or data warehouse implementation is required
- Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
- Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
- Experience with AWS based S3, Lambda, Step functions.
- Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
- Solid analytical and technical skill and the ability to exchange innovative ideas
- Quick learner and passionate about continuously developing your skills and knowledge
- Ability to solve problems by using AWS in data acquisitions
- Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution
Full-stack Developer
We are looking for 2-3 Year experienced person for our IoT Division based out of Bangalore. Option for Work from Home is also available.
Responsibilities
- Design and implementation of the overall web architecture
- Design and deployment of our database, associated areas such as database design /management and DevOps.
- Ensuring the entire stack is designed and built for speed and scalability
- Design and construction of our API-Fast, REST.
- Integrating our front-end UI with the constructed API.
- Design and implementation of continuous integration and deployment
- Knowledge of JSON and PostgreSQL support for JSON.
- Creating a DB instance running PostgreSQL with the AWS Management Console.
- Knowledge of Redis cache.
Skills
- Writing HTML, CSS, and JavaScript/jQuery
- A relevant back-end programming language e.g., Python or JavaScript.
- Server management and deployment for the relevant environment
- Experience implementing testing platforms and unit tests
- Proficiency with Git.
- Appreciation for clean and well documented code.
Keywords: #AWS #EC2 #Python #Psql #Django #Docker #Redis #Kafka.
Responsibilities
Design and build applications for the iOS platform
Ensure the performance, quality, and responsiveness of applications
Collaborate with a team to define, design, and ship new features
Identify and correct bottlenecks and fix bugs
Help maintain code quality, organization, and automatization
(Add other responsibilities here that are relevant)
Skills
Proficient with Objective-C or Swift (depending on project requirements), and Cocoa Touch
Experience with iOS frameworks such as Core Data, Core Animation, etc.
Experience with offline storage, threading, and performance tuning
Familiarity with RESTful APIs to connect iOS applications to back-end services
Knowledge of other web technologies and UI/UX standards
Understanding of Apple’s design principles and interface guidelines
Knowledge of low-level C-based libraries is preferred
Experience with performance and memory tuning with tools (such as Instruments and Shark, depending on project needs)
Familiarity with cloud message APIs and push notifications
Knack for benchmarking and optimization
Proficient understanding of code versioning tools (such as Git, Mercurial or SVN)
Familiarity with continuous integration










