Informatica ETL Developer · Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Hyderabad, Bengaluru (Bangalore), Pune, Mumbai, Chennai · 2 - 12 years · ₹5L - ₹25L / yr · Posted 5 Oct 2026

Informatica ETL Developer
We are hiring an Informatica ETL Developer to build and maintain enterprise data integration pipelines.
Responsibilities
- Develop ETL mappings and workflows in Informatica PowerCenter and IICS
- Build data warehouse loads and transformations
- Tune ETL performance and troubleshoot failures
- Migrate workloads from PowerCenter to IICS
- Document data flows and lineage
Requirements
- 2+ years of Informatica ETL development
- Strong data warehousing concepts
- Exposure to Talend is a plus

Similar jobs (10)
Hiring: Informatica IDMC / IICS Developer
Location: Faridabad, Haryana
Experience: 4–7 Years
Must-Have:
• Informatica IDMC / IICS
• Data Integration & Application Integration (CAI)
• ETL / Data Pipelines / Data Migration
• REST, SOAP, SFTP & API Integration
• Strong SQL, Stored Procedures & RDBMS
• Job Scheduling, Monitoring & Performance Tuning
Good to Have: Informatica MFT, DX, DT, MDM & Data Quality
Job Description:
Skill Set
Informatica, IDMC, Informatica MDM
Experience
4-6 Years
Location
Faridabad, Haryana, India
Work Mode- Hybrid
Job Description
Roles & Responsibilities
- Lead project team members through all activities required to successfully deliver Informatica.
- Define technical specifications for workflows and business rules.
- Prepare detailed design documents for data migration.
- Configure, build and unit test Informatica components, including data structures, roles, workflows, and portals.
- Train and mentor colleagues in Informatica implementation activities and best practices.
- Support integration, system, and user acceptance testing.
- Accountable for the Master Data Management, Technical Architecture, providing data modeling solutions and recommendations.
- Profile & Analyze Source Data usage using ETL tool.
- Automation, job scheduling, dependencies, monitoring.
- Configure/Script Business rules and transformation rules in ETL
- Data pipeline using IICS
- Hands on experience in Informatica MFT, Data Exchange (DX),and Data Transform (DT) modules
- Integration experience using various adapters (MLLP, SOAP, REST, SFTP, ODBC) will be essential.
- Strong knowledge and experience with developing complex SQL Queries, stored procedures, and triggers for RDBMS systems.
- Experience in administering, supporting, and performance tuning using Informatica.
We are looking for Data engineer with strong expertise in Data warehousing to join our team.
Key skills : ab initio, ssis , Informatica, Hadoop and Teradata
Position: Backup Data ETL Developer
Experience: 6–9 Years
Location:Mumbai
Employment Type: Full-time
Job Description:
We are looking for a Backup Data ETL Developer with 6–9 years of experience in designing, developing, and supporting data extraction, transformation, and loading (ETL) processes.
The candidate should have strong hands-on experience with Hadoop, Spark, Informatica, and Snowflake, along with expertise in large-scale data processing and data integration technologies.
Key Skills:
Hadoop
Spark
Informatica
Snowflake
ETL Development
Data Integration
Data Transformation
Large-Scale Data Processing
ETL Workflows and Data Pipelines
Troubleshooting and Problem-Solving
Strong analytical and collaboration skills

Job Description: Informatica IDMC & Snowflake Developer
Experience: 6+ Years
Required Skills: Informatica IDMC, ETL, Data Warehousing, Snowflake, SQL
Contract Duration: 2 months
Required Technical Skills
- Informatica: Strong hands-on experience with Informatica IDMC, Cloud Data Integration (CDI), Cloud Application Integration (CAI), Mass Ingestion (MI).
- ETL / ELT: Strong understanding of ETL architecture, data integration patterns, incremental loading, and error-handling strategies.
- Data Warehousing: Good understanding of dimensional modelling, data marts, fact and dimension tables, and data warehouse design principles.
- Snowflake: Hands-on experience with Snowflake architecture, SQL, data loading, transformations, performance tuning, and warehouse optimization.
- SQL: Strong proficiency in complex SQL queries, analytical functions, views, stored procedures, and query optimization.
- Database Development: Experience creating and maintaining database objects, validating data, reconciling datasets, and troubleshooting performance issues.
Candidate Profile
- 6+ years of hands-on experience in ETL/ELT development and data integration along with IDMC, Snowflake, Data Warehousing and SQL.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently, manage priorities, and collaborate effectively with cross-functional teams.
- Proven ability to deliver high-quality, scalable, and maintainable data solutions in an Agile Environment.
Job Summary
We are seeking an experienced Informatica MDM Developer to design, develop, and implement Master Data Management (MDM) solutions using Informatica IDMC (SaaS). The role focuses on establishing a Single Source of Truth by integrating multiple data sources, enforcing data quality standards, and managing master data domains such as Customer, Product, Supplier, and Employee.
The engineer will collaborate closely with data stewards, data architects, and business stakeholders to deliver high-quality, governed enterprise data. The role requires willingness to support production MDM SaaS platforms and the data warehouse feeding MDM. When capacity permits, the candidate will also support GCP Data Engineering activities
Key Roles & Responsibilities
- Design and build Master Data Management (MDM) solutions using Informatica IDMC (SaaS).
- Create and manage data models for domains like Customer, Product, Supplier, and Employee.
- Configure Business 360 including UI, entities, and business rules.
- Develop and maintain match, merge, and survivorship rules to create accurate golden records.
- Build data integrations using Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
- Develop and support REST APIs for real-time data exchange.
- Implement data quality, cleansing, and standardization rules using Cloud Data Quality (CDQ).
- Support data stewards in resolving data issues, merges, and exceptions.
- Monitor, troubleshoot, and optimize MDM SaaS platform performance.
- Support production MDM systems and the data warehouse feeding MDM.
- Collaborate with business and technical teams to deliver high-quality governed data.
- Willing to support GCP Data Engineering tasks when required (training provided).
Required Skills & Qualifications:
- Hands-on experience with Informatica IDMC (SaaS) including Business 360, Customer 360, or Product 360.
- Strong expertise in CDI, CAI, and CDQ.
- Solid understanding of relational and dimensional data modeling.
- Advanced SQL skills.
- Experience with REST/SOAP APIs, JSON, and XML.
- Familiarity with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.
Experience & Education
- Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Experience:
- 3+ years of experience in Master Data Management (MDM).
- 1–2 years of hands-on experience with Informatica MDM SaaS / IDMC.
- Prior experience with Informatica On-Prem Multidomain MDM is a plus (with SaaS migration exposure).
.
Job Types: Full-time, Permanent
We are seeking an experienced Informatica MDM Developer to design, develop, and implement Master Data Management (MDM) solutions using Informatica IDMC (SaaS). The role focuses on establishing a Single Source of Truth by integrating multiple data sources, enforcing data quality standards, and managing master data domains such as Customer, Product, Supplier, and Employee.
The engineer will collaborate closely with data stewards, data architects, and business stakeholders to deliver high-quality, governed enterprise data. The role requires willingness to support production MDM SaaS platforms and the data warehouse feeding MDM. When capacity permits, the candidate will also support GCP Data Engineering activities
Key Roles & Responsibilities
- Design and build Master Data Management (MDM) solutions using Informatica IDMC (SaaS).
- Create and manage data models for domains like Customer, Product, Supplier, and Employee.
- Configure Business 360 including UI, entities, and business rules.
- Develop and maintain match, merge, and survivorship rules to create accurate golden records.
- Build data integrations using Cloud Data Integration (CDI) and Cloud Application Integration (CAI).
- Develop and support REST APIs for real-time data exchange.
- Implement data quality, cleansing, and standardization rules using Cloud Data Quality (CDQ).
- Support data stewards in resolving data issues, merges, and exceptions.
- Monitor, troubleshoot, and optimize MDM SaaS platform performance.
- Support production MDM systems and the data warehouse feeding MDM.
- Collaborate with business and technical teams to deliver high-quality governed data.
- Willing to support GCP Data Engineering tasks when required (training provided).
Required Skills & Qualifications:
- Hands-on experience with Informatica IDMC (SaaS) including Business 360, Customer 360, or Product 360.
- Strong expertise in CDI, CAI, and CDQ.
- Solid understanding of relational and dimensional data modeling.
- Advanced SQL skills.
- Experience with REST/SOAP APIs, JSON, and XML.
- Familiarity with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse.
Experience & Education
- Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
Hiring: ETL Developer – Hadoop & PySpark
Location: Bangalore
Experience: 6–10 Years
Budget: 25–30 LPA
Work Mode: Weekdays
Job Description
We are looking for an experienced ETL Developer with strong expertise in Hadoop, PySpark, Python, and SQL to design, develop, and optimize data processing and transformation solutions. The ideal candidate should have hands-on experience working with big data technologies, building scalable ETL pipelines, and managing data for data warehousing and analytics.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
- Develop data transformation workflows using PySpark and Python.
- Work with Hadoop and other big data technologies to process and manage large datasets.
- Write complex SQL queries for data extraction, transformation, validation, and analysis.
- Implement data cleansing, data quality checks, and data validation processes.
- Develop and optimize data integration workflows for data warehousing solutions.
- Troubleshoot ETL failures, performance issues, and data discrepancies.
- Optimize PySpark jobs and SQL queries for performance and scalability.
- Collaborate with data engineers, architects, analysts, and other stakeholders to deliver reliable data solutions.
- Ensure data accuracy, consistency, and adherence to established data governance standards.
Mandatory Skills
- Strong hands-on experience in ETL development.
- Good experience with Hadoop and big data technologies.
- Proficiency in PySpark and Python programming.
- Strong SQL skills, including complex queries and data manipulation.
- Experience in data processing, data transformation, and data integration.
- Understanding of data warehousing concepts and architecture.
- Experience in developing, debugging, and optimizing ETL pipelines.
Required Experience
- 6–10 years of relevant experience in ETL development and data engineering.
- Practical experience handling large datasets using Hadoop and PySpark.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to work independently and collaborate effectively within a team.
Interested candidates can share their updated resumes along with current CTC, expected CTC, notice period, and total relevant experience.
Job Description:
We are looking for an experienced Ab Initio Developer to join our team. The candidate will be responsible for developing, enhancing, and maintaining data integration and ETL solutions using Ab Initio.
Roles & Responsibilities:
- Develop and maintain ETL workflows using Ab Initio.
- Design and develop data integration solutions based on business requirements.
- Work with Ab Initio GDE, Co>Operating System, and related components.
- Develop and optimize graphs, plans, and batch processes.
- Write and optimize SQL queries for data processing.
- Perform data validation, debugging, and issue resolution.
- Analyze and improve the performance of existing ETL processes.
- Work with business and technical teams to understand requirements.
- Support production deployments and troubleshoot data-related issues.
- Follow coding, testing, and documentation standards.
Required Skills:
- 5–8 years of experience in Ab Initio Development.
- Strong experience in Ab Initio ETL/Data Integration.
- Hands-on experience with Ab Initio GDE and Co>Operating System.
- Good knowledge of SQL and database concepts.
- Experience in ETL development, debugging, and performance tuning.
- Good communication and problem-solving skills.
Dear Candidate,
Thanks for showing interest in the opportunity!!!
As discussed, we have an opening for ETL Developer – Hadoop & PySpark with Mphasis for the Bangalore location – Permanent.
Job Description:
We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, and PySpark. The candidate should have hands-on experience in data processing, building and maintaining ETL pipelines, data transformation, and handling large datasets using Big Data technologies.
Primary & Mandatory Skills:
- ETL Development
- Hadoop / HDFS
- PySpark / Apache Spark
- Data Extraction, Transformation & Loading
- SQL and Data Processing
Good to Have:
- Hive / Spark SQL
- Data Pipeline Development
- Big Data Processing
- Python Programming
Company: Mphasis
Role: ETL Developer – Hadoop & PySpark
Experience: As per requirement
Location: Bangalore
Employment Type: Permanent









