Infinium Associate

Role Overview

We are seeking an excellent Python developer with strong coding skills and a proven ability to solve complex problems. The role involves working on backend systems and automation projects, with flexibility across domains for technically strong candidates.

Key Responsibilities

• Develop, optimize, and maintain Python-based applications.
• Contribute to backend development and automation workflows.
• Collaborate with cross-functional teams to deliver scalable solutions.
• Troubleshoot and resolve technical challenges with a problem-solving mindset.
• Ensure code quality, performance, and maintainability.

Key Requirements

• Strong expertise in Python programming with excellent coding skills.
• Experience in backend development or automation systems preferred.
• Demonstrated problem-solving ability and technical depth.
• Open to diverse domains, provided the candidate is technically strong.

We are looking for a highly skilled Linux-focused DevOps Engineer with strong troubleshooting capabilities. The ideal candidate must have hands-on experience in Linux systems, OpenStack, Kubernetes, and Ansible automation. This role requires deep debugging skills and structured root cause analysis.

Key Responsibilities

• Troubleshoot complex infrastructure and application issues through deep log analysis.

• Manage and optimize Linux-based production environments.

• Deploy and manage workloads in Kubernetes clusters.

• Provision and manage infrastructure using OpenStack.

• Automate configuration management using Ansible. • Diagnose networking issues including DNS, routing, and firewall configurations.

• Develop automation scripts using Bash or Python.

• Participate in production incident handling and RCA documentation. Required Skills & Experience

• Strong Linux internals knowledge (systemd, processes, memory, I/O). • Experience analyzing system logs (/var/log, journalctl, dmesg).

• Hands-on Kubernetes production troubleshooting.

• OpenStack VM provisioning and networking knowledge.

• Ansible playbook and role development experience.

• Strong scripting skills (Bash or Python).

Good to Have

• Terraform exposure. • Monitoring tools such as Prometheus, Grafana, ELK. • Experience in multi-tenant environments. • On-call production support experience.

Job Role: Teamcenter Admin

• Teamcenter and CAD (NX) Configuration Management

• Advanced debugging and root-cause analysis beyond L2

• Code fixes and minor defect remediation

• AWS knowledge, which is foundational to our Teamcenter architecture

• Experience supporting weekend and holiday code deployments

• Operational administration (break/fix, handle ticket escalations, problem management

• Support for project activities

• Deployment and code release support

• Hypercare support following deployment, which is expected to onboard approximately 1,000+ additional users

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

About the Role:

We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.