Informatica QA/ Data Engineer Job at Signify Technology

Data Architect

We are seeking a highly skilled and experienced Data Architect to join our team....

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data-centric roles
Proven experience in a technical leadership position such as Solution Architect, Technical Lead, or Principal Engineer
Expert-level knowledge of Snowflake and Azure Data Factory (ADF)
Deep experience with SQL Server
Familiarity with Informatica and IBM DB2
Hands-on experience with Control-M
Experience with SAP Business Objects and Power BI
Expert-level SQL
Proficiency in Python
Experience with XML and JSON data formats

Job Responsibility

Design and document end-to-end solutions for new data integrations, major enhancements, and complex data products
Contribute to the technical roadmap for the Enterprise Data Warehouse (EDW)
Define and enforce data engineering and development standards across the program
Serve as the final technical approver for all significant code changes, pull requests, and architectural modifications
Act as the highest point of technical escalation for critical P1/P2 incidents and complex problems
Lead technical investigation during major outages
Drive technical resolution for systemic issues
Mentor Data Engineers and Data Visualization Engineers
Champion creation and maintenance of technical documentation
Work closely with client architects and source system owners

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Referral bonuses up to PLN6,000
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Fulltime

Data Architect

We are seeking a highly skilled and experienced Data Architect to join our team....

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data-centric roles
Proven experience in a technical leadership position such as Solution Architect, Technical Lead, or Principal Engineer
Expert-level knowledge of Snowflake and Azure Data Factory (ADF)
Deep experience with SQL Server
Familiarity with Informatica and IBM DB2
Hands-on experience with Control-M
Experience with SAP Business Objects and Power BI
Expert-level SQL
Proficiency in Python
Experience with XML and JSON data formats

Job Responsibility

Design and document end-to-end solutions for new data integrations, major enhancements, and complex data products
Contribute to the technical roadmap for the Enterprise Data Warehouse (EDW)
Define and enforce data engineering and development standards across the program
Serve as the final technical approver for all significant code changes, pull requests, and architectural modifications
Act as the highest point of technical escalation for critical P1/P2 incidents and complex problems
Lead technical investigation during major outages
Drive technical resolution for systemic issues
Mentor Data Engineers and Data Visualization Engineers
Champion creation and maintenance of technical documentation
Work closely with client architects, source system owners, and other vendor teams

What we offer

Flexible working hours
Hybrid work model
Cafeteria system
Referral bonuses up to PLN6,000
Additional revenue sharing opportunities
Ongoing guidance from dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

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

Test Engineer

The Test Engineer role involves executing data validation queries, performing re...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3–6 years of experience in Software Testing / QA
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

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

Junior Test Engineer

The Junior Test Engineer role involves executing data validation queries, perfor...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA
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
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations
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

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
Perform aggregate validations (sums, counts, averages, distinct counts, min/max)
Perform 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

New

Junior Test Engineer

The Junior Test Engineer will execute data validation queries and perform checks...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA
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
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations
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

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
Perform aggregate validations (sums, counts, averages, distinct counts, min/max)
Perform 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

Junior Test Engineer

The Junior Test Engineer role involves executing data validation queries, perfor...

Location

India

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years of experience in Software Testing / QA
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
Exposure to Informatica (understanding mappings/workflows and expected outputs)
Exposure to dbt or willingness to learn dbt-based validations
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

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
Perform aggregate validations (sums, counts, averages, distinct counts, min/max)
Perform 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

Software Developer

Location

United States , Alpharetta

Salary:

Not provided

S2 IT Group

Expiration Date

Until further notice

Requirements

Master’s degree in Electrical Engineering or Equivalent
Anysuitable combination of education, training or experience accepted

Job Responsibility

Perform Functional Analysis of MDM Implementation
Generate reports on Customer Integrated Master Data using PowerBI
Perform DataAnalysis using IDQ
Perform Analytics and validate applications on AWS S3, SNS,RDS and validate connections, NoSQL dB in Microsoft MySQL workbenches
Analyzeand Validate Integrated Hub of Hubs
Support Analysis and monitor SFDCIntegration, Oracle RMB Integration and Oracle BPM Integration using MuleSoft
Analyze, Develop and test IDD application, Entity 360, Smart Search, BES,IDD/MDM User Exits
Perform web services/micro services testing using SpringBoot, JAX RS and JAX WS, JIRA or HPQC and Postman
Analyze and Validate Eventdriven JSON based distribution model
Load data required for Functional orRegression testing using Informatica

What we offer

This position is eligible for our employee referral program

Fulltime

Informatica QA/ Data Engineer

Signify Technology

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 20, 2026

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