Informatica Data Engineer Jobs

New

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience in data engineering, data warehousing, or data architecture
Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
Proven ability to translate business requirements into scalable, high-performance data solutions
Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
Strong proficiency in SQL and experience optimizing large-scale analytic workloads
Experience working within SDLC frameworks, CI/CD practices, and version control

Job Responsibility

Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

What we offer

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Data Engineer

We are seeking a skilled and innovative Data Engineer to join our team in Nieuwe...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

BSc or MSc degree in IT or a related field
Minimum of 2 years of relevant work experience in data engineering
Proficiency in building data pipelines using tools such as Azure Data Factory, Informatica Cloud, Synapse Pro, Spark, Python, R, Kubernetes, Snowflake, Databricks, or AWS
Advanced SQL knowledge and experience with relational databases
Hands-on experience in data modelling and data integration (both on-premise and cloud-based)
Strong problem-solving skills and analytical mindset
Knowledge of data warehousing concepts and big data technologies
Experience with version control systems, preferably Git
Excellent communication skills and ability to work collaboratively in a team environment
Fluency in Dutch language (required)

Job Responsibility

Design, develop, and maintain scalable data pipelines and ETL/ELT processes
Collaborate with Information Analysts to provide technical frameworks for business requirements of medium complexity
Contribute to architecture discussions and identify potential technical and process bottlenecks
Implement data quality checks and ensure data integrity throughout the data lifecycle
Optimise data storage and retrieval systems for improved performance
Work closely with cross-functional teams to understand data needs and deliver efficient solutions
Stay up-to-date with emerging technologies and best practices in data engineering
Troubleshoot and resolve data-related issues in a timely manner
Document data processes, architectures, and workflows for knowledge sharing and future reference

What we offer

A permanent contract and a gross monthly salary between €3,000 and €6,000 (based on 40 hours per week)
8% holiday allowance
A generous mobility budget, including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation that best suits your travel needs
8% profit sharing on target (or a fixed OTB amount, depending on the role)
27 paid vacation days
A flex benefits budget of €1,800 per year, plus an additional percentage of your salary. This can be used for things like purchasing extra vacation days or contributing more to your pension
A home office setup with a laptop, phone, and a monthly internet allowance
Hybrid working: from home or at the office, depending on what works best for you
Development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events
Social activities with colleagues — from casual drinks to sports and content-driven outings

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

New

Data Engineer

As a Data Engineer, you will partner with KFC, Pizza Hut, Taco Bell & Habit Burg...

Location

Salary:

Not provided

KFC

Expiration Date

Until further notice

Requirements

2+ years of data engineering experience
2+ years of experience building cloud data solutions (e.g. on Azure, AWS, GCP) and using services such as storage, virtual machines, serverless technologies and parallel processing technologies
Experience processing structured & semi-structured data
Experience building serverless APIs (AWS preferred, but any cloud environment works)
Working knowledge of agile development, including DevOps concepts (IAC, CI/CD, etc.)
Experience with cloud SDKs and programmatic access services

Job Responsibility

Partner with KFC, Pizza Hut, Taco Bell & Habit Burger to identify opportunities to leverage company data to drive business outcomes
Play a key role in our advanced analytics team - developing data-driven solutions, and responsible for driving Yum Growth
Design and develop scalable streaming data integration frameworks to move and transform a variety of data sets
Develop on the Yum! data platform by building applications using a mix of open-source frameworks (Py-Spark, Kubernetes, Airflow, etc.) and best in breed SaaS tools (Informatica Cloud, Snowflake, Domo, etc.)
Implement and manage production support processes around data lifecycle, data quality, coding utilities, storage, reporting and other data integration point

What we offer

4 weeks’ vacation PLUS holidays, sick leave and 2 paid days to volunteer at the cause of their choice and a dollar-for-dollar matching gift program
generous parental leave
competitive benefits including medical, dental, vision and life insurance as well as a 6% 401k match

New

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Data Engineer

Hands on development and support of new or existing data applications. Work clos...

Location

United States , Branchville, NJ

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects
Ability to effectively work well with people in other departments and/or outside of the enterprise
Proficient in SQL
Experience working within Azure ecosystem
Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers
Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse
Experience using Python or Scala
Experience in Azure DevOps and Github is preferred
P&C Insurance experience is preferred
Possesses excellent communication skills

Job Responsibility

Hands on development and support of new or existing data applications
Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design
Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects
Provide technical guidance to the team for implementing complex data solutions
Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications
Maintain detailed documentation to support downstream integrations
Provide support for production issues
Performs activities of a scrum master
Identify technology trends and explore opportunities for use within the organization

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

New

Data Test Engineer

We are looking for a skilled Data Test Engineer who can design, build, and valid...

Location

India , Chennai

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

4+ years of experience in Data Engineering and Data/ETL Testing
Strong expertise in writing and optimizing SQL queries (joins, subqueries, window functions, performance tuning)
Proficiency in Python or PySpark for data transformation and automation
Hands-on experience with ETL tools such as Azure Data Factory, Talend, SSIS, or Informatica
Familiarity with cloud platforms, preferably Azure
AWS or GCP is a plus
Experience working with data lakes, data warehouses (Snowflake, BigQuery, Redshift), and modern data platforms
Knowledge of version control systems (Git), issue tracking tools (JIRA), and Agile methodologies
Exposure to data testing frameworks like Great Expectations, DBT tests, or custom validation tools
Experience integrating data testing into CI/CD pipelines

Job Responsibility

Design, develop, and maintain robust ETL/ELT pipelines to process large volumes of structured and unstructured data using Azure Data Factory, PySpark, and SQL-based tools
Collaborate with data architects and analysts to understand transformation requirements and implement business rules correctly
Develop and execute complex SQL queries to validate, transform, and performance-tune data workflows
Perform rigorous data validation including source-to-target mapping (S2T), data profiling, reconciliation, and transformation rule testing
Conduct unit, integration, regression, and performance testing for data pipelines and storage layers
Automate data quality checks using Python and frameworks like Great Expectations, DBT, or custom-built tools
Monitor data pipeline health and implement observability through logging, alerting, and dashboards
Integrate testing into CI/CD workflows using tools like Azure DevOps, Jenkins, or GitHub Actions
Troubleshoot and resolve data quality issues, schema changes, and pipeline failures
Ensure compliance with data privacy, security, and governance policies

What we offer

Competitive salary aligned with industry standards
Hands-on experience with enterprise-scale data platforms and cloud-native tools
Opportunities to work on data-centric initiatives across AI, analytics, and enterprise transformation
Access to internal learning accelerators, mentorship, and career growth programs
Flexible work culture, wellness initiatives, and comprehensive health benefits

Fulltime

Informatica Data Engineer

Randstad

Location:
Canada, Burnaby

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 10, 2025

Expiration:
May 23, 2025

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