Integration Developer / Data Engineer Job at Eviden (Wroclaw)

Data Engineer - Data Integration

Data Engineer - Data Integration, IBM Corporation, Armonk, NY and various unanti...

Location

United States , Armonk, NY and various unanticipated client sites throughout the US

Salary:

167835.00 - 216700.00 USD / Year

The New York Times

Expiration Date

Until further notice

Requirements

Master's degree or equivalent in Computer Science or related (employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master's degree) and one (1) year of experience as a Data Engineer or related
One (1) year of experience must include utilizing Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports)

Job Responsibility

Manage the end-to-end delivery of data migration projects, implementing ETL/ELT concepts and leveraging ETL tools such as Informatica and DataStage, and cloud platforms like Google Cloud
Design and build end-to-end data pipelines to extract, integrate, transform, and load data from diverse source systems into target environments such as databases, data warehouses, or data marts
Collaborate with clients to define data mapping and transformation rules, ensuring accurate application prior to loading
Normalize data and establish relational structures to support system migrations
Develop processes for data cleaning, filtering, aggregation, and augmentation to maintain data integrity
Implement validation checks and data quality controls to ensure accuracy and consistency across systems
Create, maintain, and optimize SQL procedures, functions, triggers, and ETL/ELT processes
Develop, debug, and maintain ETL jobs while applying query optimization techniques - such as indexing, clustering, partitioning, and use of analytical functions - to enhance performance on large datasets
Partner with data analysts, data scientists, and business stakeholders to understand requirements and ensure delivery of the right data
Capture fallouts and prepare reports using Excel, Power BI, Looker, Crystal Reports, etc

Fulltime

Technical Support Engineer - Azure Data Factory / Data Integration

Within CE&S, the Customer Service & Support (CSS) organization builds trust and ...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 1+ years of technical support, technical consulting experience, or information technology experience
OR 3+ years of technical support, technical consulting experience, or information technology experience
OR equivalent experience
Azure Data Factory (ADF)
Azure Synapse Analytics / Microsoft Fabric Pipeline
Data Lake
Relational Database Management System (Microsoft SQL Server / Oracle Database / MySQL / IBM Db2 / SAP)
Big Data or Analytics Products (Spark / Azure HDInsight / Azure Data Lake Analytics / Azure Synapse Analytics / Databricks / Google BigQuery)
Pipeline and ETL/ELT Skills
Building and orchestrating pipelines (ADF / Synapse / Fabric)

Job Responsibility

Response and Resolution: You own, investigate and solve customer technical issues. You collaborate within and across teams, leveraging troubleshooting tools and practices
Readiness: You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge
You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness
Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements

Fulltime

Data Integration Engineer

Data Integration Engineer with a leading banking client (consulting through FinX...

Location

Australia , Sydney

Salary:

750.00 - 850.00 AUD / Day

FinXL

Expiration Date

Until further notice

Requirements

Minimum of 5 years of professional experience in Data Integration Engineering
Strong hands-on expertise in Python and DBT for pipeline development
Advanced SQL skills for data transformation and analysis
Proven experience working within Microsoft Windows environments
Knowledge of AWS services including Serverless, RDS, and EC2/S3 preferred
Familiarity with Airflow for automated task scheduling
Excellent communication and stakeholder management skills.

Job Responsibility

Design and build robust data pipelines for market surveillance platforms
Support and maintain existing data integration frameworks
Develop data transformations to solve complex business problems
Implement efficient ETL processes and data modelling strategies
Manage workflow scheduling to ensure data availability and accuracy.

Fulltime

Data Integration Engineer

FinXL is seeking a Data Integration Engineer to join our consulting team and be ...

Location

Australia , Sydney

Salary:

Not provided

FinXL

Expiration Date

Until further notice

Requirements

Minimum of 5 years of professional experience in Data Integration Engineering
Strong hands-on expertise in Python and DBT for pipeline development
Advanced SQL skills for data transformation and analysis
Proven experience working within Microsoft Windows environments
Knowledge of AWS services including Serverless, RDS, and EC2/S3 preferred
Familiarity with Airflow for automated task scheduling
Excellent communication and stakeholder management skills.

Job Responsibility

Design and build robust data pipelines for market surveillance platforms
Support and maintain existing data integration frameworks
Develop data transformations to solve complex business problems
Implement efficient ETL processes and data modelling strategies
Manage workflow scheduling to ensure data availability and accuracy.

Lead Data Integration Engineer

Are you an expert in MS SQL Server & SSIS development who learned python and clo...

Location

United States , Saint Petersburg; Memphis

Salary:

Not provided

Raymond James

Expiration Date

Until further notice

Requirements

Deep expertise in Microsoft SQL Server, SSIS, and SQL development
Strong proficiency in writing and optimizing complex stored procedures, functions, and packages
Hands-on experience with Python for data manipulation, automation, and pipeline development
Familiarity with Oracle databases and PL/SQL development is required for cross-platform data integration
Experience in implementing CI/CD pipelines and DevOps practices for data solutions
Understanding data warehousing concepts, ETL methodologies, and data modeling techniques
Experience with Unix and Shell scripting
Experience with job scheduler tools such as BMC Control-M
Proven track record working in both waterfall and agile SDLC frameworks
Knowledge of the Financial Services industry including middle and back-office functions

Job Responsibility

Maintain and support our critical Pre-trade clearance system
Working on re-engineering our entire data stack into AWS using python

Fulltime

Lead Data Integration Engineer

A highly experienced and technically adept Senior Integration Engineer to join o...

Location

India , Pune; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
10+ years of progressive experience in data integration, data engineering, or a similar role, with at least 4 years in a technical leadership or senior capacity
Demonstrable experience within the financial services or banking industry, specifically with wealth management or lending platforms
Extensive hands-on experience with end-to-end design, development, coding, and deployment of complex data integration solutions
Proficiency in designing, developing, and managing data access integration layers, ensuring data consistency, efficient extraction, and robust schema management
Strong background in source system data profiling, data discovery, data quality assessments, and driving remediation strategies. With knowledge of wholesale Lending domain
Skilled in defining and implementing intricate data transformation, standardization, and mapping rules
Hands-on experience with leading data integration platforms, ETL/ELT tools, message queuing systems, and API management solutions
Solid understanding and hands-on RDBMS (SQL, PL/SQL) + knowledge of NoSQL databases
Practical experience with AI-assisted development tools and modern authentication frameworks to enhance productivity, code quality, testing, and documentation

Job Responsibility

Owning overall data integration strategy, design, development, & delivery across Wealth lending platforms
Providing technical leadership to integration developers, and actively contributing to the design, development, and implementation of integration pipelines
Design & Develop integration patterns, including batch, real-time and event-based integrations with robust error handling, monitoring & replay mechanisms
Design, Build, & Manage data access integration layer, ensuring consistent data extracts & schema management
Perform & oversee source system data profiling, data discovery and data quality assessments, identifying gaps and driving remediation strategies
Define, Implement and validating complex transformation, standardization, and mapping rules for data integration
Champion and utilize AI assisted development tools and authentication frameworks to improve developer productivity, code quality, testing & documentation across the engineering team
Provide technical leadership and delivery ownership, guiding the team on architecture decisions, best practices, and ensuring high quality delivery of features and platform enhancements
Identify problems, analyze information, and make evaluative judgments to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents

Fulltime

Data Integration Engineer

We are seeking an experienced Senior Data Integration Engineer to design, develo...

Location

India

Salary:

Not provided

Augusta Hitech Soft Solutions

Expiration Date

Until further notice

Requirements

Any Degree
5+ Years of experience
Strong experience with Python, PySpark, SQL, AWS (Redshift, Glue, S3)
Expertise in big data technologies (Hadoop, Hive, Spark)
Proficient in data modeling and ETL orchestration
Experience with business intelligence tools (Tableau, Power BI)
Strong problem-solving and communication skills

Job Responsibility

Design and implement scalable data pipelines using Python, PySpark, and Big Data tools
Optimize data processing performance in AWS
Collaborate with business teams to deliver reliable data solutions
Develop and maintain ETL processes using tools like Airflow, Azkaban, and AWS Glue
Troubleshoot and ensure data integrity across data pipelines
Mentor junior team members and promote best practices

Data Integration Engineer

We are supporting a major European transmission system operator on a strategic d...

Location

Belgium

Salary:

Not provided

Apollo Solutions

Expiration Date

Until further notice

Requirements

3+ years of experience in .NET / Microsoft ecosystem
Strong experience building data integration layers
Hands-on experience with integration, scheduler, audit & monitoring frameworks
Solid knowledge of REST, SOAP, XML, Flat Files, GraphQL
Practical experience with messaging and/or event streaming solutions
Experience with distributed systems and cache patterns
Experience with automated testing and CI/CD environments
Comfortable working in data-centric product organisations
Professional proficiency in English + French or Dutch

Job Responsibility

Design and implement data integration and data management solutions (data quality, MDM, integration layer)
Develop and maintain integration frameworks within a .NET / Microsoft environment
Ensure alignment between business needs and technical architecture (functional & non-functional)
Implement distributed architecture patterns (synchronous & asynchronous)
Work with messaging / event streaming solutions and distributed caching
Contribute to CI/CD setup, automated testing, and continuous build pipelines
Support monitoring, audit, and traceability frameworks
Provide 2nd and 3rd line support for production systems
Collaborate within an Agile, cross-functional product team

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Integration Developer / Data Engineer

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