Cymetrix Software
https://cymetrixsoft.com/About
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
Catalyzing Tangible Growth: Our pivotal role involves facilitating and driving actual growth for clients. We're committed to becoming a catalyst for dynamic transformation within the business landscape.
Niche focus, limitless growth: Cymetrix specializes in CRM, Data, and AI-powered technologies, offering tailored solutions and profound insights. This focused approach paves the way for exponential growth opportunities for clients.
A Digital Transformation Partner: Cymetrix aims to deliver the necessary support, expertise, and solutions that drive businesses to innovate with unwavering assurance. Our commitment fosters a culture of continuous improvement and growth, ensuring your innovation journey is successful.
The Cymetrix Software team is under the leadership of agile, entrepreneurial, and veteran technology experts who are devoted to augmenting the value of the solutions they are delivering.
Our certified team of 150+ consultants excels in Salesforce products. We have experience in designing and developing products and IPs on the Salesforce platform enables us to design industry-specific, customized solutions, with intuitive user interfaces.
Candid answers by the company
Cymetrix is a global CRM and Data Analytics consulting company. It has expertise across industries such as manufacturing, retail, BFSI, NPS, Pharma, and Healthcare. It has successfully implemented CRM and related business process integrations for more than 50+ clients.
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Jobs at Cymetrix Software
Job Title: Senior Google Cloud Data Engineer (with API Development Experience)
Location: Remote
Job Type: Full-time/Freelancer
● Data Pipeline Development & Transformation: Design, develop, and maintain efficient and scalable data pipelines using Google Cloud technologies such as BigQuery, Cloud Dataflow, Cloud Composer (Airflow), Data Fusion, Pub/Sub, Cloud Storage, and Dataproc. Transform raw data into actionable insights by applying data cleansing, enrichment, normalization, and aggregation techniques
● Data Transformation & Processing: Lead complex data transformation projects, including ETL/ELT processes, data validation, and enrichment. Optimize transformation logic for performance, scalability, and maintainability, ensuring that data is structured in a way that
facilitates easy analysis and reporting.
● API Development & Integration: Develop and maintain RESTful APIs for data access and integration with internal and external systems, ensuring high availability and low latency. Ensure that APIs are secure, well-documented, and easy to integrate.
● Experience with Google Cloud Platform (GCP): Proficiency with GCP services, including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Cloud Composer (Airflow), and Kubernetes Engine (GKE).
3yr in AWS and in Redshift, lambda, glue, S3, EMR, Athena.
Programming skills :Python, Pyspark, Scala, ETL pipeline exp ( 2+ years in Python and Pyspark)
Primary Responsibilities
Design and develop data lakes, manage data flows that integrate information from various
sources into a common data lake platform through an ETL Tool
Code and manage delta lake implementations on S3 using technologies like Databricks or
Apache Hoodie
Triage, debug and fix technical issues related to Data Lakes
Design and Develop Data warehouses for Scale
Design and Evaluate Data Models (Star, Snowflake and Flattened)
Design data access patterns for OLTP and OLAP based transactions
Coordinate with Business and Technical teams through all the phases in the software
development life cycle
Participate in making major technical and architectural decisions
Maintain and Manage Code repositories like Git
We are seeking a highly skilled and experienced Dollar Universe Administrator to join our Operations team. The ideal candidate will be responsible for the administration, configuration, and maintenance of the Dollar Universe platform. This role requires a deep understanding of workload automation, job scheduling, and monitoring across various environments.
Key Responsibilities:
- Dollar Universe Administration:
- Install, configure, and upgrade the Dollar Universe software.
- Manage and maintain the Dollar Universe environment, ensuring high availability and performance.
- Monitor and optimize job schedules to ensure efficient resource utilization and timely job execution.
- Job Scheduling:
- Design, develop, and manage job schedules, workflows, and dependencies using Dollar Universe.
- Troubleshoot and resolve issues related to job failures, delays, or misconfigurations.
- Collaborate with application teams to understand their job scheduling requirements and provide appropriate solutions.
- System Integration:
- Integrate Dollar Universe with other IT systems and applications as needed.
- Support integration with databases, operating systems, and third-party tools.
- Documentation & Reporting:
- Document configurations, processes, and procedures related to Dollar Universe administration.
- Generate and maintain reports on job execution, performance metrics, and system health.
- Incident & Change Management:
- Participate in incident management, problem resolution, and root cause analysis for issues related to Dollar Universe.
- Provide support during critical production periods, including off-hours and weekends as necessary.
Machine Learning (ML)
PythonWhat you’ll do:
You will be working as a Senior Machine Learning Engineer within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.
Role & Responsibilities:
● Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.
● Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
● Building deep relationships with clients by understanding their stated but more importantly, latent needs.
● Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence. Researching and identifying sales opportunity, generating leads, target identification and classification
● Serve as a mentor or guide for junior resources / freshers.
● Lead the technical discussion with the clients regarding updates / risks / blockers, etc. Fluent in communication
Behavioral skills:
● Effective communication with all the stakeholders involved
● Communicate clearly about complex subjects and technical plans with technical and nontechnical audiences.
● Ability to mentor and groom junior members of the team and provide them with guidance and a roadmap.
● Must also have the ability to interact with other members of the team (Juniors, Seniors, ATA, TA, BA, etc.) to get their designs from concept to development Keeping various audiences in mind, engineers must write their reports in clear language accessible to all.
What is in it for you:
● Opportunity to learn cloud-native services and how to utilize those services to solve various business problems.
● More hands-on learning opportunities in Python, SQL, etc.
● Sponsored certification opportunity for various courses of your choice (eg, GCP, AWS, Azure, Tableau, Looker,etc)
● Allocated work will allow you to not only just complete the task but you will be allowed to own up the work and take responsibility for it’s end-to-end delivery
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