VY SYSTEMS PRIVATE LIMITED

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Job Summary

We are looking for an experienced Defender Antivirus Engineer with 3–8 years of experience in endpoint security and Microsoft security solutions. The ideal candidate should have strong hands-on experience with Microsoft Defender, Microsoft Sentinel, Intune, and Office 365 to manage enterprise endpoint protection, security monitoring, device management, and incident response. The candidate will play a key role in ensuring the organization's security posture through proactive monitoring, threat detection, and endpoint compliance.

Key Responsibilities

• Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
• Manage endpoint devices, policies, and compliance using Microsoft Intune.
• Administer and support Microsoft 365 (Office 365) services, including security configurations.
• Monitor security alerts, investigate incidents, and perform root cause analysis.
• Perform vulnerability assessments and coordinate remediation activities.
• Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
• Implement security best practices for endpoint and cloud environments.
• Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
• Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

• Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Experience administering Microsoft Sentinel (SIEM/SOAR).
• Good knowledge of Microsoft Intune for endpoint and device management.
• Experience with Microsoft 365 / Office 365 Administration.
• Knowledge of endpoint security, threat detection, and incident response.
• Experience with security monitoring, vulnerability management, and compliance.
• Good understanding of Windows Server and Windows endpoint administration.
• Strong troubleshooting and analytical skills.
• Excellent communication and problem-solving abilities.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Job Summary:

We are seeking a highly skilled Principal Infrastructure Engineer to join our team, focusing on production support and Site Reliability Engineering (SRE) implementation. The ideal candidate will possess a strong background in Python scripting, Ansible automation, and OpenShift support, along with expertise in Linux administration and Apache Tomcat. This role is critical in ensuring the stability and performance of our applications through effective monitoring, log analysis, and the use of various DevOps tools.

Responsibilities:

Provide production support for applications, ensuring high availability and performance.

Implement Site Reliability Engineering (SRE) practices to enhance system reliability.

Develop and maintain Python scripts for automation and process improvement.

Utilize Ansible for configuration management and deployment automation.

Support and manage OpenShift environments, ensuring optimal performance and scalability.

Administer Linux servers, ensuring security, performance, and reliability.

Manage and configure Apache Tomcat servers for application deployment.

Implement and maintain monitoring tools to proactively identify and resolve issues.

Conduct log analysis to troubleshoot and optimize application performance.

Collaborate with cross-functional teams to enhance DevOps practices and tools.

Document processes, procedures, and best practices for infrastructure management.

Mandatory Skills:

Strong experience in application production support.

Proficiency in Python scripting for automation tasks.

Hands-on experience with Ansible for automation and orchestration.

Solid understanding of OpenShift and container orchestration.

Expertise in Linux administration, including server setup and maintenance.

Experience with Apache Tomcat configuration and management.

Familiarity with monitoring tools and log analysis techniques.

Knowledge of DevOps tools and practices.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with CI/CD pipelines and tools.

Knowledge of networking concepts and security best practices.

Experience with database management and optimization.

Understanding of Agile methodologies and practices.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Relevant certifications in cloud technologies, DevOps, or system administration are a plus.

Strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work in a fast-paced environment and manage multiple priorities

If you mean "I am with Saviynt JD" and you're asking for help understanding or preparing for a Saviynt Job Description (JD), please paste the JD here and I'll explain it or help you prepare.

If you're looking for a typical Saviynt IAM Engineer/Developer JD, it usually includes responsibilities such as:

• Implementing and configuring Saviynt Identity Governance and Administration (IGA).
• Managing user lifecycle (Joiner, Mover, Leaver processes).
• Developing and maintaining workflows, approval processes, and access request catalogs.
• Creating connectors and integrating applications using REST APIs, JDBC, LDAP, Active Directory, etc.
• Writing SQL queries and troubleshooting identity and access issues.
• Managing certifications, role management, segregation of duties (SoD), and compliance.
• Working with IAM technologies such as Active Directory, Azure AD, SSO, and MFA.
• Collaborating with security, infrastructure, and application teams.

Skill/Technology: Cyber IAM – Microsoft Entra ID

Experience: 5–8 Years

Role Summary

Support identity modernization initiatives by gathering business requirements, defining identity governance processes, and translating requirements into Entra ID solutions.

Key Responsibilities

Gather and document identity lifecycle management requirements.

Analyze authentication, authorization, and access governance processes.

Define user provisioning, deprovisioning, and access review workflows.

Document SSO, MFA, Conditional Access, and PIM requirements.

Conduct stakeholder workshops and process-mapping sessions.

Create BRDs, FRDs, user stories, and acceptance criteria.

Support implementation, testing, and deployment activities.

Assist audit and compliance teams with identity governance reporting.

Technical Leadership

Facilitate business-to-technical alignment.

Support IAM process standardization.

Quality & Operations

Ensure requirements traceability.

Validate delivered solutions against business requirements.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.

5–8 years of IAM business analysis experience.

We are looking for an Application Support Engineer with hands-on experience in Linux/Unix and AutoSys to support and maintain critical production applications. The ideal candidate will be responsible for monitoring application health, troubleshooting production issues, executing and managing batch jobs, and ensuring high system availability.

Key Responsibilities

• Provide L2/L3 application production support.
• Monitor applications and resolve production incidents within defined SLAs.
• Manage and troubleshoot AutoSys job scheduling, failures, and dependencies.
• Perform application support activities on Linux/Unix environments.
• Analyze application, system, and server logs to identify and resolve issues.
• Execute deployment, release, and maintenance activities.
• Work closely with development, infrastructure, and business teams for issue resolution.
• Perform root cause analysis (RCA) and implement preventive measures.
• Create and maintain support documentation and operational runbooks.
• Participate in on-call and 24x7 production support as required.

Required Skills

• Strong experience with Linux/Unix administration and command-line operations.
• Hands-on experience with AutoSys job scheduling and monitoring.
• Good knowledge of Shell Scripting.
• Experience with SQL for data validation and troubleshooting.
• Understanding of incident, problem, and change management processes (ITIL).
• Excellent troubleshooting and analytical skills.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with application monitoring tools (e.g., Splunk, AppDynamics, Dynatrace).
• Knowledge of Control-M or other enterprise schedulers.
• Exposure to cloud platforms (AWS/Azure) is a plus.
• Banking or financial services domain experience is preferred.

Qualifications

Data Engineer – Splunk & ELK Stack

Job Summary

We are seeking a skilled Data Engineer with hands-on experience in Splunk, the ELK Stack (Elasticsearch, Logstash, Kibana), and modern data engineering practices. The ideal candidate will design, build, and maintain scalable data pipelines, log analytics platforms, and monitoring solutions to support business intelligence, security, and operational excellence.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and ETL/ELT pipelines.
• Configure, administer, and optimize Splunk environments for log collection, indexing, searching, and reporting.
• Develop and maintain ELK Stack solutions using Elasticsearch, Logstash, Kibana, and Beats.
• Build dashboards, visualizations, alerts, and reports for infrastructure, application, and security monitoring.
• Integrate data from multiple structured and unstructured sources into centralized analytics platforms.
• Optimize Elasticsearch clusters for performance, scalability, and high availability.
• Troubleshoot data pipeline failures, indexing issues, and system performance bottlenecks.
• Automate deployment and configuration using scripting and Infrastructure as Code where applicable.
• Collaborate with DevOps, Security, Cloud, and Application teams to implement observability and monitoring solutions.
• Ensure data quality, governance, and compliance with organizational standards.
• Document technical designs, operational procedures, and best practices.

Required Skills

• Strong experience with Splunk Enterprise administration and development.
• Hands-on experience with the ELK Stack:
• Elasticsearch
• Logstash
• Kibana
• Beats (Filebeat, Metricbeat, Winlogbeat, etc.)
• Experience building ETL/ELT pipelines and data integration workflows.
• Strong SQL skills and experience with relational databases.
• Experience with Python, Shell scripting, or Java for automation.
• Understanding of log management, monitoring, and observability concepts.
• Experience working with Linux environments.
• Knowledge of REST APIs and data ingestion techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Git and CI/CD pipelines.

Preferred Skills

• Experience with Kafka, Spark, or other streaming technologies.
• Knowledge of Docker and Kubernetes.
• Experience with Terraform, Ansible, or other Infrastructure as Code tools.
• Understanding of SIEM concepts and security analytics.
• Experience with Prometheus, Grafana, or OpenTelemetry.
• Exposure to big data technologies and distributed systems.