Programmer

JD:

Role - Java FullStack Developer

Experience - 5+ Years

Location - Bangalore

Job description

• A Java Full Stack Developer is responsible for designing, developing and maintaining the full stack of an application using Java programming language
• They are expected to have expertise in both front-end and back-end development, as well as the ability to integrate the two
• Key responsibilities include: Design, develop, and maintain both client-side and server-side applications
• Write clean, efficient, and well-documented code
• Develop and implement RESTful APIs
• Collaborate with other developers to integrate user-facing elements with server side logic
• Test and debug applications
• Stay up to date with emerging trends and technologies in web development
• Requirements for the role include: Strong experience with Java and Java-based web development frameworks
• Experience in front-end technologies such as HTML, CSS, JavaScript, and Angular or React
• Experience with databases (eg, MySQL, MongoDB) and ORM (Object Relational Mapping) frameworks
• Familiarity with Agile software development methodologies
• Good understanding of RESTful API design
• Ability to write well-documented, reusable, and testable code

• Selling the company's medications to doctors, pharmacists, and healthcare professionals. 
• Meeting with healthcare professionals to promote company medications. 
• Achieving sales targets set by the company. 
• Developing an in-depth understanding of company medications. 
• Building and maintaining business relationships for repeat purchases. 
• Lead generation and following up on leads. 
• Researching competitor medications and market performances. 
• Staying updated on medical field developments for effective business strategies. 
• Any other responsibilities as assigned by the company. 

Requirements:

•  Age: Not above 30 years. 
• Bachelor's degree in pharmacy or any other field. 
• Proven medical sales experience. 
• Proficient in Microsoft Word, Excel, Outlook, and PowerPoint. 
• Strong negotiation skills. 
• Excellent organizational and communication skills. 
• Exceptional customer service skills. 
• Persuasive and resilient.

• Responsible for designing, storing, processing, and maintaining of large-scale data and related infrastructure.
• Can drive multiple projects both from operational and technical standpoint.
• Ideate and build PoV or PoC for new product that can help drive more business.
• Responsible for defining, designing, and implementing data engineering best practices, strategies, and solutions.
• Is an Architect who can guide the customers, team, and overall organization on tools, technologies, and best practices around data engineering.
• Lead architecture discussions, align with business needs, security, and best practices.
• Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc.
• Understanding of Medallion architecture pattern
• Has worked on at least one cloud platform.
• Has worked as data architect and executed multiple end-end data engineering project.
• Has extensive knowledge of different data architecture designs and data modelling concepts.
• Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes.

Required Tech Stack

• Strong proficiency in SQL
• Experience working on any of the three major cloud platforms i.e., AWS/Azure/GCP
• Working knowledge of an ETL and/or orchestration tools like IICS, Talend, Matillion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc.
• Working knowledge of one or more OLTP databases (Postgres, MySQL, SQL Server, etc.)
• Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Azure Synapse, Hive, Big Query, etc.
• Proficient in at least one programming language used in data engineering, such as Python (or Scala/Rust/Java)
• Has strong execution knowledge of Data Modeling (star schema, snowflake schema, fact vs dimension tables)
• Proficient in Spark and related applications like Databricks, GCP DataProc, AWS Glue, EMR, etc.
• Has worked on Kafka and real-time streaming.
• Has strong execution knowledge of data architecture design patterns (lambda vs kappa architecture, data harmonization, customer data platforms, etc.)
• Has worked on code and SQL query optimization.
• Strong knowledge of version control systems like Git to manage source code repositories and designing CI/CD pipelines for continuous delivery.
• Has worked on data and networking security (RBAC, secret management, key vaults, vnets, subnets, certificates)

Hiring Alert Sales Executive

Company JNJ Technologies Services  

Location Remote

 About Us

JNJ Technologies Services is a dynamic and rapidly growing technology solutions provider specializing in Auto Services plans across India We pride ourselves on delivering innovative and tailored solutions to meet the unique needs of our clients ranging from small businesses to large enterprises

 Job Description

As a Sales Executive at JNJ Technologies Services you will play a crucial role in driving our companys growth and success through proactive sales strategies and exceptional customer relationship management You will be responsible for identifying new business opportunities cultivating relationships with prospects and negotiating contracts to achieve sales targets Your ability to understand client needs and effectively communicate the value of our solutions will be key to your success in this role

 Responsibilities

 Identify and develop new business opportunities through networking cold calling and other lead generation strategies

 Build and maintain strong longlasting customer relationships with key decisionmakers and influencers

 Understand client needs and requirements and effectively communicate how our solutions can meet those needs

 Collaborate with the technical team to propose solutions that align with client objectives and requirements

 Prepare and present proposals quotes and contracts to prospective clients

 Negotiate terms and close sales to achieve quarterly and annual revenue targets

 Track and report sales activities and outcomes using our CRM system

 Stay uptodate with industry trends competitive landscape and market conditions

 Requirements

 Proven experience as a Sales Executive or in a relevant role preferably in sales

 Demonstrated ability to achieve sales targets and drive revenue growth

 Strong communication negotiation and interpersonal skills

 Excellent organizational skills and attention to detail

 Selfmotivated and able to work independently as well as part of a team

 Bachelors degree in Business Administration Marketing or a related field preferred

 Proficiency in CRM software and Microsoft Office Suite

 Benefits

 Competitive salary and commission structure

 Comprehensive health benefits package

 Opportunities for professional growth and development

 Dynamic and collaborative work environment

 Application Process

Please submit your resume and cover letter outlining your qualifications and why you are interested in joining JNJ Technologies Services We look forward to hearing from you

Contact  

Yamuna V  

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.