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We are looking for a Software Infrastructure Engineer with a strong background in enterprise environments and infrastructure management. The ideal candidate will have a B.S. in Computer Science and hands-on experience in designing, implementing, and supporting enterprise-grade systems.

Key Responsibilities:
-Manage, configure, and maintain Windows Server environments (Active Directory, DNS, DHCP, Group Policy, IIS)
-Perform patch management, vulnerability assessments, and remediation
-Develop and maintain installation and technical documentation
-Administer and configure firewalls, VPNs, and security policies
-Manage software deployment and system updates
-Monitor system performance, troubleshoot issues, and ensure high availability
-Support disaster recovery planning and readiness
-Implement IT security best practices and ensure compliance with policies and standards
-Collaborate with security and network teams to resolve threats and vulnerabilities
-Maintain detailed system documentation and operational procedures
-Manage backup and recovery solutions
-Monitor and maintain overall infrastructure health
-Maintain and update IT security baseline documents
-Set up and manage Production, Development, and QA environments

Requirements:
-Bachelor’s degree in Computer Science or related field
-Strong experience in Windows Server administration
-Solid understanding of network protocols and security principles
-Experience with server hardening and security compliance
-Hands-on experience with backup and recovery solutions
-Strong troubleshooting and problem-solving skills
-Ability to work in a fast-paced, enterprise environment

Preferred:
-Experience working in large-scale or enterprise environments
-Familiarity with security frameworks and compliance standards

We are seeking a motivated and detail-oriented Data Engineer with at least 2 years of experience in the Informatica ecosystem to design, develop, and maintain ETL processes and data pipelines. The ideal candidate will have hands-on experience with Informatica PowerCenter and strong knowledge of data integration, transformation, and optimization techniques.
We are seeking a motivated and detail-oriented Data Engineer with at least 2 years of experience in the Informatica ecosystem to design, develop, and maintain ETL processes and data pipelines. The ideal candidate will have hands-on experience with Informatica PowerCenter and strong knowledge of data integration, transformation, and optimization techniques.

Key Responsibilities:
-Design, develop, and maintain ETL workflows using Informatica PowerCenter.
-Build and optimize data pipelines for structured and semi-structured data.
-Perform data extraction, transformation, and loading (ETL) from multiple data sources.
-Ensure data quality, accuracy, and consistency across systems.
-Troubleshoot and resolve ETL and data integration issues.
-Collaborate with data analysts, BI teams, and stakeholders to understand data requirements.
-Optimize ETL performance and improve existing data workflows.
-Document ETL processes, mappings, and technical designs.
-Support deployment, monitoring, and maintenance of data integration solutions.

Required Qualifications:
Bachelor’s degree in Computer Science, Information Systems, or a related field.
Minimum 2 years of hands-on experience in Informatica tools, especially PowerCenter.
Strong understanding of ETL concepts, data warehousing, and data modeling.
Experience working with relational databases (Oracle, SQL Server, MySQL, etc.).
Strong SQL skills for data validation and troubleshooting.
Familiarity with data quality and performance tuning techniques.
Ability to analyze and solve data-related issues effectively.

Preferred Skills (Nice to Have):
Experience with other Informatica products (IDMC, Informatica Cloud).
Knowledge of data warehousing concepts (Star/Snowflake schema).
Experience with large-scale or enterprise data environments.
Exposure to cloud platforms (Azure, AWS, GCP).
Basic knowledge of scripting (Python, Shell).

Skills & Competencies:
-ETL Development
-Informatica PowerCenter
-Data Integration & Transformation
-SQL & Databases
-Problem-solving & Troubleshooting
-Attention to detail

Key Responsibilities:
Develop and implement predictive analytics models and solutions to optimize asset performance, reduce downtime, and improve overall efficiency
Collaborate with cross-functional teams to identify business problems and develop solutions using data-driven approaches
Design, develop, and deploy machine learning models and algorithms to predict asset failures, detect anomalies, and optimize maintenance schedules
Work with large datasets to identify trends, patterns, and correlations, and develop insights to inform business decisions
Develop and maintain databases and data systems to support predictive analytics applications
Collaborate with stakeholders to develop and implement predictive analytics solutions that meet business needs
Stay up-to-date with industry trends and emerging technologies in predictive analytics and machine learning
Develop and maintain documentation of predictive analytics models, solutions, and results

Requirements:
Reliability Engineering is preferable or Mechanical Engineer
5+ years of experience in predictive analytics, machine learning, or related field
Experience working with asset-intensive industries (e.g. oil and gas, manufacturing, etc.)
good programming skills in languages such as Python, R, or SQL
Strong data analysis and problem-solving skills
Excellent communication and collaboration skills
Ability to work in a fast-paced environment and meet deadlines

Preferred Exp:
Proficient in GE Smart signals, Backer-Hughes C3.AI , Aveva APA , AspenTech MTell ,

We are seeking an experienced Support Engineer to join our team, specializing in Honeywell Operations Advisory systems and Asset Performance Management solutions. The successful candidate will be responsible for installing, upgrading, and supporting Honeywell systems, as well as providing technical expertise to optimize asset performance, reduce downtime, and improve overall efficiency in the oil and gas industry.


Key Responsibilities:
-Install, upgrade, and support Honeywell Operations Advisory systems, including Operational Logbook, Monitoring, Meetings, Asset Sentinel, and KPI Manager
-Provide technical expertise and support for Honeywell Field Rounds and other related systems
-Set up and maintain Production and QA environments to ensure seamless system operation
-Collaborate with cross-functional teams to identify and resolve technical issues, and develop solutions using Honeywell systems and tools
-Work with stakeholders to develop and implement system solutions that meet business needs and optimize operational performance
-Develop and maintain documentation of system installations, upgrades, and support activities
-Stay up-to-date with industry trends and emerging technologies in Honeywell systems and Asset Performance Management
-Provide technical guidance and support to junior engineers and other team members as needed


Requirements:
-B.S. in Chemical / Industrial / Mechanical / Computer Science.
-Proficient/Experienced in Installing, upgrading and supporting Honeywell Operations Advisory systems (Operational Logbook, Monitoring, Meetings), Honeywell’s Asset -Sentinel, Honeywell’s KPI Manger
-Proficient/Experienced in, Honeywell Field Rounds.
-Experienced in setting up and maintaining Production and QA environments .
-Minimum 9 Years in Oil & gas industry (Senior Engineer) or Minimum 5 Years in Oil & gas industry (Engineer)


Preferred Software Tools:
-Honeywell’s Asset Sentinel,
-Honeywell’s KPI Manger
-Honeywell Field Rounds
-Honeywell Dynamo