Oracle Endeca Production Support Engineer

Role: Oracle DBA – GoldenGate & Database Migration

Location: Bangalore / Hyderabad

Experience: 8–15 years

Key Responsibilities:

• Manage Oracle databases in production and non-production environments.
• Strong hands-on experience with Oracle GoldenGate for replication, CDC, and data synchronization.
• Lead/support database migration, upgrade, and transformation projects.
• Perform database performance tuning, backup/recovery, troubleshooting, and high availability activities.
• Work on migration planning, execution, validation, and post-migration support.
• Collaborate with application, infrastructure, and cloud teams for end-to-end migration activities.

Must-Have Skills:

• 8–15 years of strong Oracle DBA experience.
• Hands-on expertise in Oracle GoldenGate.
• Proven experience in DB migration projects.
• Strong knowledge of Oracle RAC, Data Guard, RMAN, performance tuning, and troubleshooting.
• Good understanding of Unix/Linux and SQL/PLSQL.
• Excellent communication and stakeholder-management skills.

Location: Bangalore / Hyderabad

CTC: Up to ₹24 LPA

Autosys Engineer with EEM.

 Mandatory Technology: Autosys R12 & above, EEM (Embedded Entitlements Manager), Linux, MSSQL Server, GitLab, Ansible

Roles & Responsibilities:

• Design, build, and integrate new Autosys instances within existing enterprise ecosystems.
• Develop, test, and deploy RPM and MSI packages for Autosys components
• Create and maintain Ansible playbooks for automated installation, configuration management, and patch deployment
• Manage agent deployment, configuration updates, and compliance enforcement across global infrastructure
• Provide Tier 3 and Tier 4 support for Autosys environments serving global operations
• Independently engineer, develop, and maintain proprietary codebases and automation frameworks
• Design and implement frameworks for internal tools development and web portals
• Develop automation solutions, self-service portals, and operational tooling
• Produce comprehensive technical documentation including runbooks, architecture diagrams, and knowledge transfer materials
• Troubleshoot complex issues across Autosys platforms and custom-developed solutions

Key Skills:

• Primary interest and expertise in IT infrastructure domain

Autosys & EEM

• Deep architectural understanding of Autosys components including Application Server, Event Server, and Agent infrastructure

• Expert-level proficiency in configuring Autosys environments from scratch, including complex job workflows, dependencies, and conditional logic

• Implementation and administration of Embedded Entitlements Manager (EEM) with role-based access controls, credential management, and audit compliance

• Configuration of real-time monitoring, alarm management, and integration with enterprise monitoring platforms

• Design and implementation of high-availability failover configurations and backup/restore procedures

• Understanding of TCP/IP protocols, port configurations, and firewall rules for Autosys and EEM communication

Database (MSSQL Server)

• Installation & Integration of MSSQL databases for Autosys Instances

• Implementation of backup strategies and point-in-time recovery procedures

• Analysis of database performance metrics, index optimization, and query execution plans

Operating System

• Strong understanding of Linux/Unix environments where Autosys agents and servers are deployed

• Administration skills for Windows-based Autosys components and agents

• Bash/KSH for system-level automation and integration tasks

• Development, testing, and deployment of RPM and MSI packages for Autosys agents and clients

CI / CD

• Creation and maintenance of Ansible playbooks for automated installation, configuration management, and patch deployment

• Agent deployment, configuration updates, and compliance enforcement

• Dynamic inventory configuration for multi-environment Autosys landscapes

• Automated deployment pipelines and configuration validation

• Proficiency in GitLab workflows including branching strategies, pull requests, and code review processes

• Experience with ServiceNow, CMDB, Grafana, and enterprise monitoring/ITSM platforms

 Soft Skills

• Demonstrated ability to work independently and collaboratively within project teams

• Strong analytical and troubleshooting capabilities for complex, multi-system technical issues

• Excellent written and verbal communication skills for cross-functional collaboration with application teams, DBAs, and infrastructure engineers

• Proven capability to develop and document procedures for production releases, feature enhancements, and operational process documentation for steady-state service management

• Good communications and interpersonal skills

Key Competencies/Behaviors:

• Demonstrated ability to work independently with minimal supervision and take ownership of technical initiatives

• Excellent written and verbal communication skills for effective stakeholder engagement and technical documentation

• Flexible and responsive to changing business requirements, technologies, and operational priorities

• Strong team player with proven ability to work effectively in cross-functional, global teams

• Service-focused mindset with capability to perform effectively in high-pressure, production-critical environments

• Proactive identification of technical and operational risks with ability to propose timely mitigation actions

• Strong technical writing skills for reports, runbooks, and formal documentation

• Linux troubleshooting
• Hands-on AWS
• Production/Application Support
• Bash/Shell/Python
• Monitoring/log analysis
• Incident resolution
• Application deployment/support
• Basic networking and database knowledge
• Production/batch support exposure
• Willingness for rotational weekend/critical production support

You'll own heterogeneous database migrations end to end for enterprise customers moving off Oracle and SQL Server onto PostgreSQL and Aurora PostgreSQL. That means running the AWS DMS and SCT toolchain, then doing the part the tools can't: rebuilding procedural business logic in PL/pgSQL when SCT flags a gap it can't close on its own. You ship the runbook, you run the cutover, you validate the result. 

What you'll do?

• Lead end-to-end database migration initiatives, including assessment, planning, schema conversion, execution, and post-migration validation.
• Design, configure, and manage AWS DMS and SCT environments while ensuring migration quality, performance, and reliability.
• Author comprehensive migration runbooks that define execution procedures, validation checkpoints, rollback plans, and operational readiness activities.
• Perform database migration assessments, dependency analysis, compatibility reviews, and migration strategy recommendations.
• Collaborate with infrastructure, application, security, and platform teams to ensure successful migration outcomes.
• Drive migration testing activities, including functional validation, performance testing, failover testing, and production readiness reviews.
• Provide technical leadership and guidance to migration teams while ensuring adherence to AWS migration best practices and governance standards.
• Lead conversion and refactoring of procedural database code — Oracle PL/SQL (packages, procedures, functions, triggers, cursors) and SQL Server T-SQL (stored procedures, functions, triggers) — into PostgreSQL/Aurora PostgreSQL PL/pgSQL, resolving semantic and behavioral differences identified by SCT.

What we're looking for?

• 8–12 years of professional experience in database architecture and migration delivery
• Hands-on expertise in AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT) for enterprise-scale database migrations
• Deep proficiency in Oracle, SQL Server, PostgreSQL, and Aurora PostgreSQL environments, including migration planning, execution, and optimization
• Proven background in delivering heterogeneous database migrations across on-premises, cloud, and AWS environments
• Knowledge of production database operations, including backup and restore strategies, parameter tuning, performance optimization, and failover testing
• Skills in authoring and executing migration runbooks, validation plans, cutover procedures, rollback strategies, and post-migration stabilization activities
• Strong understanding of AWS database services, migration best practices, and integration with broader cloud migration programs
• Experience engaging directly with enterprise customers, architecture teams, and migration stakeholders to drive successful delivery outcomes
• Strong hands-on experience converting Oracle PL/SQL and SQL Server T-SQL business logic to PL/pgSQL, including handling of exception handling models, cursor semantics, autonomous transactions, sequences/identity columns, implicit data type conversions, and proprietary built-in packages/functions with no native PostgreSQL equivalent
• Ability to identify and remediate SCT action items and manual conversion gaps in procedural code (e.g., DBMS_* packages, UTL_* utilities, SQL Server system procedures, dynamic SQL, and nested/recursive procedure calls) and validate converted logic through functional and regression testing.

You'll be preferred if you

• Have tuned production database performance, backup and restore strategy, and failover testing in high-stakes environments.
• Have led migration teams or mentored engineers through complex conversions.
• Bring experience with broader AWS cloud migration programs beyond the database layer.

Software Engineer I — Deliver (One2Team) Team

Hybrid (2 days/week onsite) | Full-Time | 3+ Years Experience

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology.

Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management.

The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role

We're looking for a Software Engineer I to join our Deliver (One2Team) team. This is a backfill role on a product that blends legacy and modern technologies — a great opportunity to work across the full stack while helping shape what comes next, including new platform integrations, connectors, and AI-powered capabilities.

You'll work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure across our application and its technology stack from day one.

What You'll Work On

In your first six months, you'll get broad exposure to customer-facing development, platform integrations, cloud technologies, and AI — all within a single product. Beyond maintaining and enhancing the existing product, you'll help build and integrate new technologies as we expand our platform and connector ecosystem.

Must-Have Skills:

• Java 8+
• Kafka, MongoDB, Oracle, Cassandra, Elasticsearch
• Front-end: React/Angular and JavaScript

Nice-to-Have Skills:

• AWS Cloud

Experience

3+ years of professional software engineering experience, ideally with a background at a product-based company.

Growth Path

Over the next 1–2 years, you'll grow from handling customer-facing issues to owning complex technical problems and key product areas. You'll build expertise across legacy and modern technologies, platform integrations, cloud, and AI — with a path toward owning technical initiatives, contributing to architectural and product decisions, mentoring other engineers, and progressing toward a senior or technical

leadership role.

Team Culture

• Learning-focused
• Collaborative
• Customer-focused

Work Style & Logistics

• Hybrid: 2 days per week in the office (no shift work required)

Key Responsibilities

Build and maintain data transformation pipelines using java Spark

Develop and optimize large-scale/CPU intensive data processing using Apache Spark

Orchestrate workflows using Airflow

Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage

Support schema evolution, backfills, and incremental processing

Ensure pipelines meet SLAs for freshness, reliability, and performance

Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

Strong hands-on experience with 

HBase

Apache Spark

Experience with HBase or similar lakehouse query engines

Airflow 

Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)

Proficiency in Java

Experience with Git-based development and CI/CD

Nice-to-Have Skills

OpenTable format/Iceberg ,Apache Arrow

CDC-based analytics pipelines

Cloud platforms (AWS)

Kubernetes-based data platforms