Market Development and Solutions Lead

Big Picture (The Opportunity)

We are looking to hire an experienced SDE ll (JAVA) to help us keep growing. If you're hard-working and dedicated, Agami Tech Pvt Ltd is an ideal place to get ahead.

Responsibilities :

• Writing back-end code & front –end code and building efficient Java modules
• Contribute in all phases of the development lifecycle, Write well designed, testable,
• Design, build, and maintain efficient, reusable, and reliable Java code code
• Help maintain code quality, organization, and automatization
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and
• presenting these for architectural review
• Translate application storyboards and use cases into functional applications
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Align with organizational security protocols and data protection requirements and
• Implement the required feature
• Participate in all phases of the SDLC

Skills and Experience :

• BS/MS Degree in Computer Science, Engineering or a related subject
• Hands-on experience in designing and developing applications using Java EE platforms
• Object-oriented analysis and design using common design patterns.
• Profound insight of Java and JEE internals (Class loading, Memory Management,
• Transaction management, etc.)
• excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2,
• Hibernate)
• Experience in the Spring Framework
• Hands-on experience in designing and developing applications using JavaScript, j Query,
• and AJAX.
• Ensure that the APIs and services are adequate to support the application
• Profound insight of Java and JEE internals (Class loading, Memory Management,
• Transaction management etc.)
• Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2,
• Hibernate)
• Experience with test-driven development
• excellent written and verbal communication skills Ability to quickly adapt and learn new
•  
• Collaborate with other parts of the technology team, including product, QA, etc. to
• deliver a solid product.

Position: MEAN / MERN Stack Developer

Location: Pune, India

Experience Required: 0+ Years

We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.

About FlytBase

FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.

The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.

The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.

Role and Responsibilities:

• Collaborate with Designers, Product Managers for carving out the right front-end architecture.
• Develop web applications that are secure, reusable, modular, and scalable.
• Develop robust, modular, and testable code
• Optimize frontend load times, debug rendering issues, and overall provide a smooth experience to the user.
• Work directly with UI/UX, Product, and Customer Success to help create impacting customer features as the product face of FlytBase.

Experience/Skills:

• Experience in building scalable and component-based UI architecture for the enterprise using Angular and/or any modern front-end framework.
• Strong coding experience in TypeScript, JavaScript, HTML, and CSS
• Implementing micro-frontends patterns using technology like NgRX, NgXS, and Web Components.
• Experience working in a complete Software Development life cycle involving analysis, technical design, development, testing, troubleshooting, maintenance, documentation and Agile Methodology
• Good understanding of REST APIs and Microservices. 
• Should have an understanding of how resources are organized and how applications should align based on the same.

Good to have:

• Hands-on experience working with server-side JavaScript frameworks like Express, etc. (based on Node.js) for building APIs.
• Building Micro-Frontend component-based architecture for standardized UI elements across a suite of products will be a plus.
• Experience in CI/CD, Testing, Security, and Code Quality processes for UI applications.

Compensation:

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.

Perks:

• Fast-paced Startup culture
• Enthusiastic and approachable team
• Professional autonomy
• Company-wide sense of purpose
• Flexible work hours

Job Title Big Data Developer

Job Description

Bachelor's degree in Engineering or Computer Science or equivalent OR Master's in Computer Applications or equivalent.

Solid Experience of software development experience and leading teams of engineers and scrum teams.

4+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark).

Solid Datawarehousing concepts.

Knowledge of Financial reporting ecosystem will be a plus.

4+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an addon.

Expert on Distributed ecosystem.

Hands-on experience with programming using Core Java or Python/Scala

Expert on Hadoop and Spark Architecture and its working principle

Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data.

Experience in UNIX shell scripting.

Roles & Responsibilities

Ability to design and develop optimized Data pipelines for batch and real time data processing

Should have experience in analysis, design, development, testing, and implementation of system applications

Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.

Excellent technical and analytical aptitude

Good communication skills.

Excellent Project management skills.

Results driven Approach.

Mandatory SkillsBig Data, PySpark, Hive

We are looking for a driven, curious and sincere full-stack software engineer having 0-2 years of professional experience. They will be assigned to a 0 to 1 project which presents a great opportunity to learn and grow.

Roles & Resposibilities:

• You will be involved in full-stack development
• Working on relational as well as non-relational databases.
• Writing and maintaining high-quality code.
• Learning the code base and improving your coding skills.

Desired skills and qualities:

• Bachelor degree in computer engineering or related field.
• Atleast 6 months of full-time or internship experience in Javascript.
• Data structures and algorithms.
• Strong understanding of object-oriented programming.
• Ability to communicate ideas clearly(verbal/written).
• HTML and CSS.

• Create and maintain optimal 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 the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• 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 including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.