Content Writer

• Experience of more than 4 to 6 years in software development.
• Very Strong Experience in Core Java.
• Excellent Java Programming skills Experience in Data Structures, Algorithms and Design Patterns.
• Strong in Problem solving, Analytical skill and logical thinking.
• Skill to be trained: java, spring, mango db, cassandra.
• Strong experience in Spring Boot, Restful API
• Looking for shorter notice period candidates only.

Role Overview:

We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.

The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.

Key Responsibilities:

• Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
• Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
• Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
• Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
• Mentor junior engineers, perform code reviews, and promote engineering best practices.
• Stay current with evolving technologies in cloud, big data, and healthcare data standards.
• Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).

Required Skills & Qualifications:

• 4+ years of hands-on experience in data engineering roles.
• Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
• Proficient in Python for data processing and automation.
• Experience with Azure Databricks (or readiness to ramp up quickly).
• Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
• Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
• Familiarity with containerization tools like Docker and orchestration using Kubernetes.
• Exposure to CI/CD pipelines for data applications.
• Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
• Excellent problem-solving abilities and a proactive mindset.
• Strong communication and interpersonal skills to work in cross-functional teams.

Key Responsibilities:

• Identify potential clients and business opportunities through market research, networking, and cold calling.
• Develop and maintain relationships with key decision-makers in target businesses.
• Present and demonstrate product offerings to potential clients.
• Negotiate contract terms and pricing with clients.
• Close sales deals and meet or exceed sales targets.
• Work closely with the marketing team to develop sales collaterals and promotional materials.
• Provide after-sales support to ensure client satisfaction.
• Gather market and customer information to provide feedback on buying trends.
• Maintain accurate records of sales, revenue, invoices, and other important data.
• Create detailed proposal documents and deliver presentations.

Requirements:

• Bachelor's degree in Business, Marketing, or a related field.
• Proven experience in B2B sales, preferably in the [industry].
• Strong negotiation and communication skills.
• Ability to build and maintain relationships with clients.
• Self-motivated and target-driven with a proven track record in sales.
• Proficiency in CRM software and Microsoft Office Suite.
• Ability to work independently and as part of a team.
• Willingness to travel as needed.

We are seeking an experienced Senior Shopify Developer to join our dynamic team. The ideal candidate will have a strong background in Shopify development, with a focus on creating custom solutions and apps to enhance e-commerce experiences. As a Senior Shopify Developer, you will be responsible for leading projects, collaborating with cross-functional teams, and driving innovation in our e-commerce platform.

Key Responsibilities:

• Design, develop, and maintain Shopify-based websites, ensuring high performance, responsiveness, and scalability.
• Lead the development of custom Shopify themes, apps, and integrations to meet business requirements.
• Collaborate with designers and stakeholders to translate business goals into technical solutions.
• Optimize website performance and user experience through continuous testing and refinement.
• Stay updated on the latest Shopify trends, tools, and best practices to incorporate into projects.
• Provide technical guidance and mentorship to junior developers, fostering their growth and development.
• Troubleshoot and resolve issues related to Shopify configuration, functionality, and third-party integrations.

Requirements:

• Minimum of 3 years of experience in Shopify development, with a strong portfolio showcasing custom Shopify themes and apps.
• Expertise in Shopify Liquid programming language and Shopify APIs.
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and React.js.
• Experience with version control systems such as Git.
• Strong understanding of e-commerce best practices and principles.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment and manage multiple projects simultaneously.
• Strong communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

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.

Our client is a 5 year old online gaming company with market leading games in three segments - Poker, Rummy and Cricket. Their online games are ensured to be safe, trusted and secure for their customers. They have a registered base of over a million users and are working towards the growth of online gaming in the country.