Software Engineer - IICS

Pivotree; Mumbai; Presencial; INR 1.500.000 - 2.300.000; Jornada completa

Descripción de la vacante

Pivotree, a market leader in data management solutions, seeks an IICS Developer to design, build, and support data integration pipelines across cloud apps, databases, and data platforms. This role uses AI tools as part of day-to-day engineering work, under clear standards for quality, data handling, and review.

You will implement ETL patterns, optimize SQL, and integrate with Salesforce, SAP, Workday, and other systems.

Formación

• Experience designing and building Informatica PowerCenter and IICS integrations.
• Proficient in SQL across Oracle, SQL Server, Snowflake/Redshift/BigQuery loading and tuning.
• Experience with REST APIs and web services with JSON/XML.
• Experience with ETL pipelines and data warehousing concepts including SCDs.
• Ability to use AI tools in development with validation against logs and plans.

Responsabilidades

• Design, develop, and maintain Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS) solutions that deliver scalable, secure, and high-performance enterprise data integration.
• Develop and optimize mappings, workflows, reusable transformations, expressions, stored procedures, and ETL pipelines for ingesting, transforming, and loading data into data warehouses, data lakes, and operational systems.
• Build and support complex integration patterns, including incremental and delta loads, Slowly Changing Dimensions (SCD Types 1 and 2), star schema loads, and large-scale batch and near-real-time processing.
• Build and maintain REST and web service integrations, service connectors, business services, and IICS Application Integration (CAI) processes and process objects for real-time integration with Salesforce, SAP, ServiceNow, Workday, and other on-premises and cloud platforms.
• Install and configure add‑on connectors and drivers for IICS; build file‑watching and file‑transfer scripts (SFTP and similar) for scheduled and event‑driven data exchange.
• Optimize SQL performance, database connectivity, task scheduling, and cloud‑native deployments on Snowflake, Amazon Redshift, and Google BigQuery, using AI‑generated performance recommendations only after validating them against execution plans and load metrics.
• Implement data quality checks, governance controls, metadata management, lineage, and impact analysis to keep enterprise data accurate, compliant, and trusted.
• Troubleshoot ETL, integration, and pipeline issues, using AI‑assisted root cause analysis to isolate performance bottlenecks, transformation errors, and data quality anomalies. Validate every AI‑suggested fix against logs, sample data, and execution plans before it reaches production.
• Use approved AI tools across the development lifecycle to draft and review mapping logic, SQL, test data, and technical documentation, and to summarize job logs. Follow Pivotree's AI usage policy at all times, including rules on client and customer data, and record where AI contributed to each change.
• Contribute to AI‑enabled data enrichment use cases, such as attribute extraction, categorization, and content normalization for PIM, as the project roadmap requires.
• Collaborate with data architects, business analysts, and cross‑functional teams to design integration architectures, document reusable patterns and guidelines for enterprise applications, and continuously improve data management processes.
• Communicate project status clearly to management and stakeholders.

Conocimientos

IICS CDI/CAI

Informatica PowerCenter

Advanced SQL

REST APIs

Data warehousing modeling

File processing & scripting

Version control & deployment

AI-assisted development

Herramientas

Snowflake

Amazon Redshift

Google BigQuery

Git

Descripción del empleo

Position Summary

As a market leader in product data content solutions, Pivotree helps clients assess, implement, and run best-of-breed applications for Master Data Management (MDM) and Product Information Management (PIM). We are looking for an IICS Developer who will design, build, and support integration pipelines that collect, transform, and manage product and enterprise data across cloud applications, databases, and data platforms. This role uses AI tools as part of day-to-day engineering work, under clear standards for quality, data handling, and review.

Roles & Responsibilities

• Design, develop, and maintain Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS) solutions that deliver scalable, secure, and high-performance enterprise data integration.
• Develop and optimize mappings, workflows, reusable transformations, expressions, stored procedures, and ETL pipelines for ingesting, transforming, and loading data into data warehouses, data lakes, and operational systems.
• Build and support complex integration patterns, including incremental and delta loads, Slowly Changing Dimensions (SCD Types 1 and 2), star schema loads, and large-scale batch and near-real-time processing.
• Build and maintain REST and web service integrations, service connectors, business services, and IICS Application Integration (CAI) processes and process objects for real-time integration with Salesforce, SAP, ServiceNow, Workday, and other on-premises and cloud platforms.
• Install and configure add‑on connectors and drivers for IICS; build file‑watching and file‑transfer scripts (SFTP and similar) for scheduled and event‑driven data exchange.
• Optimize SQL performance, database connectivity, task scheduling, and cloud‑native deployments on Snowflake, Amazon Redshift, and Google BigQuery, using AI‑generated performance recommendations only after validating them against execution plans and load metrics.
• Implement data quality checks, governance controls, metadata management, lineage, and impact analysis to keep enterprise data accurate, compliant, and trusted.
• Troubleshoot ETL, integration, and pipeline issues, using AI‑assisted root cause analysis to isolate performance bottlenecks, transformation errors, and data quality anomalies. Validate every AI‑suggested fix against logs, sample data, and execution plans before it reaches production.
• Use approved AI tools across the development lifecycle to draft and review mapping logic, SQL, test data, and technical documentation, and to summarize job logs. Follow Pivotree's AI usage policy at all times, including rules on client and customer data, and record where AI contributed to each change.
• Contribute to AI‑enabled data enrichment use cases, such as attribute extraction, categorization, and content normalization for PIM, as the project roadmap requires.
• Collaborate with data architects, business analysts, and cross‑functional teams to design integration architectures, document reusable patterns and guidelines for enterprise applications, and continuously improve data management processes.
• Communicate project status clearly to management and stakeholders.

Technical Skills

• IICS Cloud Data Integration (CDI) and Cloud Application Integration (CAI), 3+ years hands‑on: mappings, mapping tasks, task flows, schedules, parameter files, transformations (Expression, Router, Filter, Lookup, Update Strategy, Union, Aggregator, Joiner, Sorter), CAI processes, service connectors, and process objects.
• Informatica PowerCenter, 5+ years hands‑on: mappings, workflows, reusable transformations, stored procedures, and session tuning.
• Advanced SQL on Oracle and SQL Server: complex joins, analytic functions, query tuning, and DDL generation; plus Snowflake, Amazon Redshift, or Google BigQuery loading and performance tuning (preferred).
• REST APIs and web services with JSON and XML payloads, including authentication, error handling, and integrations with Salesforce, SAP, ServiceNow, or Workday.
• Data warehousing and modeling: star schemas, SCD Types 1 and 2, incremental loads, conceptual, logical, and physical data models, and data quality and lineage tooling.
• File processing and scripting: flat files (CSV, delimited, XML), file‑watching and SFTP transfer scripts, Unix/Linux shell or DOS scripting, Python for validation and API work (preferred), and installing IICS add‑on connectors and drivers.
• Version control and deployment: Git, IICS asset management, and promotion across development, test, and production environments.
• AI‑assisted development: working fluency with an approved AI assistant for SQL, mapping logic, scripts, and documentation; verifying AI output against sample data and execution plans; keeping client data out of unapproved tools; and building or supporting LLM‑based pipeline steps such as enrichment or classification with evaluation and cost monitoring (preferred).

Key Competencies

• Ability to learn new technology quickly and adapt to changes in tooling and platforms.
• Strong analytical and troubleshooting skills, with a systematic approach to root cause analysis.
• Clear written and verbal communication with technical and non‑technical audiences.
• Commitment to documentation, reusable design patterns, and engineering best practices.
• Ownership of quality: willingness to challenge assumptions, including AI‑generated ones, before they reach production.