Lead AEM Developer

Required Skills

·      Experienced developer with hands-on expertise in Java Spring Boot: Spring Boot Data, Spring Boot Integration, Spring Boot Messaging, Spring Boot Web, Spring Boot Security, and Spring Boot AOP., MySQL, REST API, SOAP APIs, JavaScript, Angular, Tomcat, Drools, Docker, Kubernetes.

·      Strong understanding of MicroServices architecture, design patterns and best practices.

·      Designing and Developing web applications using Microservices on Java Spring Boot, testing using jUnit & jMeter, deploying using Maven, Jenkins, Docker & Kubernetes, monitoring using ELK and associated technologies.

·      Excellent problem-solving skills and ability to troubleshoot technical issues effectively. Troubleshoot and resolve technical issues, ensuring the stability and performance of applications.

Responsibilities

·      Implement low-level designs and coding for complex software systems.

·      Collaborate with cross-functional teams and Business Analysts to understand business requirements and translate them into technical solutions.

·      Implement best practices for software development, code reviews, and quality assurance.

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the USA. Data Axle has set up a strategic global center of excellence in Pune. This center delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA.

Roles and Responsibilities:

• Design, implement, and manage scalable analytical data infrastructure, enabling efficient access to large datasets and high-performance computing on Google Cloud Platform (GCP).
• Develop and optimize data pipelines using GCP-native services like BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Data Fusion, and Cloud Storage.
• Work with diverse data sources to extract, transform, and load data into enterprise-grade data lakes and warehouses, ensuring high availability and reliability.
• Implement and maintain real-time data streaming solutions using Pub/Sub, Dataflow, and Kafka.
• Research and integrate the latest big data and visualization technologies to enhance analytics capabilities and improve efficiency.
• Collaborate with cross-functional teams to implement machine learning models and AI-driven analytics solutions using Vertex AI and BigQuery ML.
• Continuously improve existing data architectures to support scalability, performance optimization, and cost efficiency.
• Enhance data security and governance by implementing industry best practices for access control, encryption, and compliance.
• Automate and optimize data workflows to simplify reporting, dashboarding, and self-service analytics using Looker and Data Studio.

Basic Qualifications

• 7+ years of experience in data engineering, software development, business intelligence, or data science, with expertise in large-scale data processing and analytics.
• Strong proficiency in SQL and experience with BigQuery for data warehousing.
• Hands-on experience in designing and developing ETL/ELT pipelines using GCP services (Cloud Composer, Dataflow, Dataproc, Data Fusion, or Apache Airflow).
• Expertise in distributed computing and big data processing frameworks, such as Apache Spark, Hadoop, or Flink, particularly within Dataproc and Dataflow environments.
• Experience with business intelligence and data visualization tools, such as Looker, Tableau, or Power BI.
• Knowledge of data governance, security best practices, and compliance requirements in cloud environments.

Preferred Qualifications:

• Degree/Diploma in Computer Science, Engineering, Mathematics, or a related technical field.
• Experience working with GCP big data technologies, including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud SQL.
• Hands-on experience with real-time data processing frameworks, including Kafka and Apache Beam.
• Proficiency in Python, Java, or Scala for data engineering and pipeline development.
• Familiarity with DevOps best practices, CI/CD pipelines, Terraform, and infrastructure-as-code for managing GCP resources.
• Experience integrating AI/ML models into data workflows, leveraging BigQuery ML, Vertex AI, or TensorFlow.
• Understanding of Agile methodologies, software development life cycle (SDLC), and cloud cost optimization strategies.

Role & Responsibilities:

• Handle multiple products/modules simultaneously, lead the team in development and support
• Lead development teams
• Daily updates to customers and Product Managers/Delivery Managers
• Participate in design discussions
• Design and Architect small modules
• Effort estimations for modules, subsystems or use cases.
• Learn new skills and mentor the new team members
• Champion best practices within the team, including code reviews
  
  

Work Experience & Skills:

• B.E/B.Tech or any relevant Masters degree from reputed college.
• Strong 5+ years of experience in Java, J2EE, Spring IOC, Spring Annotations, Spring JDBC, Jquery, Java script, HTML 5 and CSS
• Strong experience in Postgres or any SQL technology
• Experience with working on Tomcat, Apache, JBoss or any similar application server
• Should have 3+ years of experience in leading team.
• Good experience in JSON / RESTful API / Web Services.
• Experience in working on Agile methodology using Scrum and sprints
• Experience in using build tools, Maven, GIT, Bugzilla or similar tools.
• Experience in cloud technologies, Microservices and frameworks such as AWS or GPC, container technologies like Docker is a plus.
• Ability to adapt to new development environments, changing business requirements and learning new systems highly desired
• Experience in Microservices, SpringBoot and Angular is a plus.
• Experience with tuning deployed applications for scalability and performance.
• Good knowledge of deployment and scripting on Linux/Unix servers
• Strong technical documentation skills.
• Good oral and written communication skills

Good understanding of Java Programming language

- Hands-on experience in the full life cycle of Android application development

- Strong knowledge in RESTFUL web services

-Sound Knowledge of Android SDK's- Having a strong knowledge of building UI

- Having an understanding of working with third-party libraries

- Tools : Android Studio, Eclipse

-Good to Have : Knowledge and understanding of Kotlin

Full Stack Developer

Skills:

• Proficiency with JavaScript and HTML5

• Minimum 2+ years of hands-on experience with AngularJS and Angular Frameworks

• Experience with Java, JSON, Spring Boot and Hibernate 

• Experience with MYSQL databases

• Familiarity with Linux environments

• Experience with GIT 

• Hands on experience with AWS S3 is preferred

• Experience with web servers & application servers such as Apache and Nginx is good to have

Responsibilities: 

• Design and develop client-side and server-side architecture

• Develop and manage well-functioning database

• Implementation of approved user interface

• Design and construction of REST APIs

• Server management and deployment for the relevant environment

Job Description:
Requirements:

• BS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field with 3+ years experience programming with at least one of the following languages:Java, C++, C#, Python, Go, or Perl;

OR 

• MS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field 2+ years experience programming with at least one of the following languages: Java, C++, C#, Python, Go, or Perl.

ALSO 

• Minimum 3 years of experience building applications using at least one of the following: web application technologies including: HTML, CSS, or Javascript; OR Databases, for example: Mysql, Mongo, ora similar program; OR a collection of systems connected and communicating via a network connection
• Minimum 1 year of experience mentoring more junior Engineers
• Significant experience with large scale, high-performance systems