Informatica QA/ Data Engineer Job at Signify Technology

Senior Data Engineer (Informatica PowerCenter)

Who we're looking for: We are looking for a Senior Data Engineer who brings han...

Location

Sri Lanka

Salary:

Not provided

IQZ Systems

Expiration Date

Until further notice

Requirements

4+ years of hands-on Data Engineering with production pipelines on at least one major cloud
Proficiency in SQL and at least one scripting language: Python, Shell, or PowerShell
Experience with Azure Data Factory or a comparable orchestration tool (Airflow, dbt)
Hands-on with Databricks or Spark for large-scale transformations
3+ years of Informatica PowerCenter development and administration
Strong understanding of data warehousing: star schema, Data Vault, incremental loads, SCD handling

Job Responsibility

Design, build, and maintain batch and near-real-time ETL/ELT pipelines handling high-volume data with 99%+ SLA adherence
Build ingestion and transformation layers across structured, semi-structured, and unstructured sources (relational DBs, flat files, REST APIs, streaming feeds)
Implement medallion architecture (bronze/silver/gold) for lakehouse environments, ensuring clean separation of raw, conformed, and curated data zones
Develop transformation logic using Spark (or equivalent) with proper testing, documentation, and lineage tracking baked in
Build and manage CI/CD pipelines for data workflows: automated testing, environment promotion, and deployment standardization
Work across one or more major cloud platforms: Azure: Data Factory, Synapse Analytics, ADLS Gen2, Databricks, Stream Analytics
AWS: Glue, S3, Redshift, Lambda
GCP: BigQuery, Dataflow, Cloud Composer
Optimize cloud resource usage, tune pipeline performance, and implement cost-aware design patterns
Apply enterprise data modeling techniques: Kimball dimensional modeling, Data Vault, and normalized schemas suited to the use case

Fulltime

Staff Engineer - Finance Data Engineer

GEICO is seeking Finance Data specialists to support the build out of a Finance ...

Location

United States , Palo Alto

Salary:

110000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle
Workday
SAP or PeopleSoft)
3+ years of experience in implementing and supporting FP&A applications (Preferred)
3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools
Good understanding of Dimensional Data Modeling
Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
Experience working with Financials via the major vendors (e.g. PeopleSoft
Oracle EBS

Job Responsibility

Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO’s current and future needs
Engage in cross-functional collaboration throughout the entire software lifecycle
Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations
Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met
Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse
Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions
Support and try to influence customers and stakeholders, and work through divergent expectations

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Sr. Data Engineer - Python Developer

Seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support the ...

Location

United States , Springfield

Salary:

52.00 - 54.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with a focus on enterprise data warehousing
5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
5+ years of Python development for data engineering and automation
3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field
Strong analytical, problem-solving, and troubleshooting skills

Job Responsibility

Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
Build and optimize scalable data processing solutions using Python, Spark, and Databricks
Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
Develop robust data validation, reconciliation, and audit-traceable data pipelines
Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow data engineering best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root-cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Fulltime

Remote Data Quality Assurance Engineer

We are seeking a highly skilled Senior Data Quality Assurance Engineer to lead d...

Location

Mexico , Monterrey

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Data profiling, validation, standardization, and cleansing
Python and Unix/Linux scripting
ETL, Informatica & DataBricks experience
data migration experience is a plus
Bachelor's Degree in related field or equivalent experience required
4+ years of hands-on experience in data quality or data governance role with a focus on test data management, including at least 2 years in a lead or senior QA role
5+ years of advanced experience querying complex data structures and performing root-cause analysis
Advanced knowledge of ETL process and techniques.

Job Responsibility

Lead QA planning, strategy, and execution for data migration projects
Provide guidance and mentorship to the DQA team (onshore, offshore, nearshore)
Foster a culture of accountability, collaboration, and continuous improvement across teams
Serve as the primary escalation point for Data Quality Assurance (DQA) and User Acceptance Testing (UAT)
Stay current with emerging technologies and best practices in test strategies, automation, and quality engineering
Design and implement scalable test automation frameworks for validating data pipelines and transformations
Develop and maintain automated test scripts for ingestion, transformation, and output validation
Support development teams in adopting shift-left testing practices
Drive quality innovation through new technologies, testing tools, and automation solutions
Ensure adherence to data quality dimensions, industry best practices, SOX compliance, and security policies

What we offer

Negotiable salary
Grocery Tickets - 12%
Saving funds - 13% of base salary
30 days of Christmas bonus
12 days of vacations
50% Vacation bonus
5 personal days per year
Medical insurance (You and your family)
Life insurance
Opportunity to grow in the company

Fulltime

ETL & Informatica Application Support Engineer

Alight is looking for an ETL/Informatica Application Support Engineer with stron...

Location

United States of America , Virtual

Salary:

110000.00 - 130000.00 USD / Year

Alight Solutions

Expiration Date

Until further notice

Requirements

3-5 years of experience in ETL application support, Informatica PowerCenter/Cloud, and SQL Server in production environments
Practical experience with SQL Server, including schema understanding, stored procedure development, query tuning, and optimization
Hands-on experience with job scheduling tools such as ControlM or AutoSys for monitoring and support automation
Excellent communication skills and ability to work both independently and as part of a distributed global team
Strong analytical thinkers with the ability to troubleshoot complex data and integration issues effectively
Flexible, adaptable, and pragmatic, with the ability to remain focused on objectives while handling shifting priorities
US Citizenship required

Job Responsibility

Monitor, support, and troubleshoot ETL and data integration workflows across production, QA, and development environments to ensure smooth daily operations
Analyse and resolve incidents, job failures, and performance issues related to Informatica workflows, mappings, and SQL jobs
Own and maintain ETL components including Informatica mappings, metadata, scripts, schedules, and operational procedures
Identify opportunities to optimize performance, scalability, and reliability of existing jobs/processes
Ensure stability of data ingestion pipelines spanning batch, nearrealtime, and realtime patterns
Finetune ETL solutions by developing a deep technical understanding of data flows and upstream/downstream dependencies
Collaborate with DBAs and Data Architects to implement appropriate data partitioning, indexing, and optimization strategies to enhance job performance
Develop or modify SQL scripts, stored procedures, database triggers, and queries as part of incident resolution, change requests, or performance tuning
Work closely with cross functional and offshore teams, ensuring timely resolution of issues, clear communication, and adherence to support SLAs and operational guidelines
Manage multiple concurrent support tickets, change requests, and enhancement tasks, balancing priorities based on business impact and urgency

What we offer

A variety of health coverage options
wellbeing and support programs
retirement
vacation and sick leave
maternity, paternity & adoption leave
continuing education and training
voluntary benefit options

Fulltime

Informatica MDM Senior Software Development Engineer 1

We are seeking a Senior Informatica MDM Developer to build, enhance, and support...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

5–8 years of IT experience
3–5 years of Informatica MDM development experience
Strong hands-on experience in: Informatica MDM Hub
Match rules, load jobs, cleanse rules
Data staging and data loads
Good knowledge of: SQL, PL/SQL
Informatica PowerCenter / IICS
Understanding of MDM concepts and data governance
Experience working with business analysts and QA teams

Job Responsibility

Develop and configure Informatica MDM Hub components
Implement match & merge logic, validation rules, and survivorship rules
Build and maintain MDM data models and relationships
Develop integrations using: Informatica PowerCenter / IICS
APIs / batch processes
Support data loads, data quality checks, and issue resolution
Participate in design discussions and technical troubleshooting
Follow best practices for performance, scalability, and security
Work in Agile teams and support sprint deliveries

Junior Test Engineer

We are currently seeking a Junior Test Engineer to join our team in Bangalore, K...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing
Practical experience in data migration / data platform modernization projects is strongly preferred
Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters)
Hands-on experience testing on at least one data platform such as: Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results)
Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping
Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest)
Experience with Excel or similar tools for managing validation results and reconciliation artifacts
Strong attention to detail and a structured approach to validation

Job Responsibility

Execute data validation queries to compare Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs)
Perform Row-count checks between source and target tables
Aggregate validations (sums, counts, averages, distinct counts, min/max)
Sample and cell-level comparisons for critical entities and fields
Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints)
Log discrepancies, analyze patterns, and work with developers to support root-cause analysis
Understand Informatica mappings and workflows and their expected outputs
Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs
Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations
Validate CDC / incremental loads: new, changed, and deleted records are handled correctly

Fulltime

Junior Test Engineer

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA, with at least 2+ years in Data Warehouse / ETL testing
Practical experience in data migration / data platform modernization projects is strongly preferred
Strong SQL skills for writing complex queries and validations (joins, aggregations, window functions, filters)
Hands-on experience testing on at least one data platform such as: Snowflake, Databricks, or other cloud DW/Big Data platforms – experience with Snowflake/Databricks is a plus
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations (model outputs, dbt test results)
Good understanding of data warehouse concepts: facts/dimensions, SCDs, aggregations, grain, source-to-target mapping
Familiarity with test management and defect tracking tools (e.g., Azure DevOps, JIRA, TestRail, qTest)
Experience with Excel or similar tools for managing validation results and reconciliation artifacts
Strong attention to detail and a structured approach to validation

Job Responsibility

Execute data validation queries to compare: Source (Yellowbricks / Informatica outputs) vs Target (Databricks / Snowflake / dbt outputs)
Perform: Row-count checks between source and target tables
Aggregate validations (sums, counts, averages, distinct counts, min/max)
Sample and cell-level comparisons for critical entities and fields
Validate schema consistency (data types, lengths, precision/scale, nullable fields, constraints)
Log discrepancies, analyze patterns, and work with developers to support root-cause analysis
Understand Informatica mappings and workflows and their expected outputs
Validate dbt models (staging, core, marts) on Snowflake against legacy Informatica outputs
Test Databricks notebooks/jobs that replicate Yellowbricks logic — ensuring correct transformations, joins, filters, and aggregations
Validate CDC / incremental loads: new, changed, and deleted records are handled correctly

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Informatica QA/ Data Engineer

Job Description

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