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etl developer

TAWANTECH

<div>Job Summary
We are seeking an ETL Developer to design, develop, and maintain enterprise data integration solutions supporting banking operations, reporting, analytics, and regulatory requirements.
Key Responsibilities
Develop and maintain ETL workflows using Informatica PowerCenter and/or IBM DataStage.
Extract, transform, and load data from multiple banking systems.
Support Data Warehouse and Data Lake initiatives.
Optimize ETL performance and ensure data quality.
Troubleshoot and resolve data integration issues.
Collaborate with business and data teams to define data requirements.
Support regulatory and management reporting processes. 
Requirements 
4+ years of ETL development experience.
Strong experience with Informatica PowerCenter and/or IBM DataStage.
Strong SQL and database skills.
Experience with Data Warehousing concepts.
Knowledge of data quality and data governance practices.
Experience working with Oracle, SQL Server, or other enterprise databases.
Preferred Qualifications
Banking domain experience.
Experience supporting regulatory reporting environments.
Knowledge of Data Lakes and Big Data technologies</div>

ETL Developer (Informatica / DataStage)

Maaden

<div>
 
 Job Purpose
 
 
 
 
 JOB DESCRIPTION
 
 
 
 The Principal Specialist, Engineering and ETL (OT) provides enterprise leadership for OT data engineering, enabling reliable ingestion, transformation, and availability of operational data for analytics, operations, and performance management. The role defines OT pipeline standards and assures that OT data is delivered with quality, lineage, security, and appropriate latency across sites.
 
 
 This position is responsible for defining scalable patterns for integrating historians and industrial systems into enterprise platforms, guiding teams through complex OT constraints, and ensuring operational data products are sustainable and governed.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Define OT data engineering and ETL standards, patterns, and reference architectures covering batch, streaming, and near-real-time ingestion needs.
 </li>
 <li>
 Establish ingestion patterns for historians and OT source systems, including normalization, unit standardization, quality flags, and tag mapping processes.
 </li>
 <li>
 Design and assure robust pipeline reliability (idempotency, backfill, late-arriving data handling, reconciliation, alerting) appropriate for OT contexts.
 </li>
 <li>
 Ensure OT pipelines comply with security and segmentation requirements; partner with OT cyber and platform security teams for governance-by-design.
 </li>
 <li>
 Oversee and guide OT data transformation logic to produce curated OT data products aligned to enterprise models and governance requirements.
 </li>
 <li>
 Provide architectural oversight for site onboarding, handling variability across plants and ensuring consistent delivery standards across implementations.
 </li>
 <li>
 Review and assure vendor and internal deliverables; provide technical direction and quality gates for complex OT engineering initiatives.
 </li>
 <li>
 Drive continuous improvement through performance tuning, cost optimization, observability, and operational resilience improvements for OT workloads.
 
 
 </li>
 </ul>
 
 Minimum Qualification, Experience And Competencies
 
 
 
 
 Minimum Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Industrial Engineering, or related field.
 </li>
 <li>
 Master&rsquo;s degree preferred; OT systems exposure is an advantage.
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 10&ndash;15 years of experience in data engineering/ETL with demonstrated exposure to OT/industrial data environments.
 </li>
 <li>
 Experience designing ingestion from historians/OT systems and delivering analytics-ready OT datasets at enterprise scale.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Strong OT data engineering expertise including ingestion from historians, handling time-series characteristics, and ensuring data quality.
 </li>
 <li>
 Ability to design scalable, secure OT-to-IT data pipelines with governance, lineage, and auditability.
 </li>
 <li>
 Advanced pipeline engineering practices (reliability, observability, orchestration, performance tuning).
 </li>
 <li>
 Stakeholder leadership across plant operations, OT engineering, IT, and analytics consumers.
 </li>
 <li>
 Vendor assurance and technical governance for complex multi-site delivery programs.
 </li>
 </ul>
</div>

Principal Specialist, Engineering and ETL (OT)

<div><div>Responsibilities: 
<ul><li>Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration)</li><li>Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.</li><li>Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.</li><li>Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).</li><li>Optimize the Informatica workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.</li><li>Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.</li><li>Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access to processed data.</li><li>Implement partitioning, bucketing, and indexing strategies in Hive and HBase to improve query performance on large datasets.</li><li>Implement and enforce data quality rules within Informatica workflows, ensuring that all transformations meet the required standards for completeness, consistency, and accuracy.</li><li>Ensure compliance with data governance and security protocols (e.g., encryption, masking, access control) in accordance with industry best practices.</li><li>Automation and Scheduling: Automate ETL workflows using Informatica Server, integrating with Airflow, Nifi or other workflow orchestration tools for scheduling and monitoring jobs.</li><li>Utilize Cloudera Navigator for monitoring and auditing data processes within the Hadoop ecosystem.</li><li>Perform regular tuning of the ETL pipelines, data flows, and SQL queries to ensure optimal performance.
</li></ul></div><div>Qualifications: 
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>6+ years of experience in the same field.</li><li>Proven experience with the Cloudera Distribution of Hadoop (CDH), including expertise in HDFS, Hive, Impala, Spark, and HBase.</li><li>Strong hands-on experience with Informatica PowerCenter (ETL), EDC, IDQ, B2B, and Axon.</li><li>Deep understanding of ETL best practices, data pipelines, and distributed computing technologies such as Spark, MapReduce, PySpark, and Hadoop ecosystem components.</li><li>Advanced SQL skills for data manipulation, aggregation, optimization, and reporting across relational and non-relational data stores (e.g., SQL Server, MySQL, PostgreSQL, Hive, Impala).</li><li>Experience in Python and SQL.</li><li>Strong background in data warehousing principles and data modeling, including dimensional modeling (star schema, snowflake schema) and OLAP/OLTP considerations.</li></ul></div></div>

Senior Big Data Engineer

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are looking for a skilled Data Engineer to join our implementation and professional Services team. In this role, you will be responsible for designing, building, and optimizing the data pipelines that support our FOCAL system. You will work closely with machine learning engineers, software developers, and engagement managers to ensure seamless data integration, efficient query execution, and high-performance system scalability. Additionally, you will collaborate with other teams to create high-quality queries and diverse question sets that improve system accuracy and performance.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Develop and maintain scalable data pipelines and ETL processes to support FOCAL.
 </li>
 <li>
 Optimize SQL query generation by designing efficient database schemas, indexing strategies, and query execution plans.
 </li>
 <li>
 Collaborate with ML engineers to preprocess, transform, and structure large-scale datasets for AI models.
 </li>
 <li>
 Monitor and enhance data pipeline performance, reliability, and scalability.
 </li>
 <li>
 Ensure data quality by implementing validation and logging mechanisms.
 </li>
 <li>
 Support real-time and batch query execution in FOCAL system by optimizing database interactions.
 </li>
 <li>
 Stay up to date with best practices in data engineering, database optimization, and machine learning infrastructure.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in data engineering or related technical roles
 </li>
 <li>
 Proficiency in Python for data processing and ETL development
 </li>
 <li>
 Strong SQL skills and experience writing complex queries
 </li>
 <li>
 Solid understanding of dimensional modeling (star schema, snowflake schema, fact and dimension tables)
 </li>
 <li>
 Experience designing or consuming RESTful APIs
 </li>
 <li>
 Hands-on experience with ETL/ELT pipeline development
 </li>
 <li>
 Working knowledge of Linux command line and server administration
 </li>
 <li>
 Working experience with Docker or containerization technologies
 </li>
 <li>
 Strong client-facing and communication skills
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Apache Airflow for workflow orchestration
 </li>
 <li>
 PySpark or distributed data processing frameworks
 </li>
 <li>
 Knowledge of API development using Flask, FastAPI, or similar
 </li>
 <li>
 Familiarity with integration patterns: batch processing, streaming, webhooks, event-driven architectures
 </li>
 <li>
 Experience with authentication mechanisms (OAuth, API keys, JWT)
 </li>
 <li>
 Exposure to message queues or streaming platforms (Kafka, RabbitMQ ...etc)
 </li>
 <li>
 Data visualization tools (Tableau, Power BI ...etc)
 </li>
 <li>
 Feature engineering experience working alongside data scientists
 </li>
 <li>
 Understanding of data quality frameworks and governance practices
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Mozn?
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Engineer I

<div>Job Summary
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul> 

Requirements 
 
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Backend Developer (.NET)</h1> 
Location: Remote 
Experience Required: 3&ndash;5 Years<h2 class="jobSectionHeader">
Job Summary</h2>
We are looking for a Backend Developer (.NET) to support the development of scalable APIs and backend services for SPL&rsquo;s digital platform. The candidate should have hands-on experience with ASP.NET Core and SQL Server and demonstrate strong accountability and communication.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Develop API endpoints and backend logic.</li><li>
Build data access layers using Entity Framework Core.</li><li>
Write unit tests and maintain documentation.</li><li>
Participate in code reviews and sprint activities.</li><li>
Support maintenance of legacy systems.</li><li>
Raise technical blockers proactively.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
ASP.NET Core Web API</li><li>
C#, SQL Server, T-SQL</li><li>
Entity Framework Core</li><li>
Git and collaborative workflows</li><li>
REST API principles</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Azure DevOps exposure</li><li>
Docker basics</li><li>
SOLID principles</li><li>
Azure services exposure</li></ul>
5QyWNudtRI</div>

Backend Developer (.NET)

Müller's Solutions

<div>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement data management processes and systems
 </li>
 <li>
 Develop and enforce data governance practices and standards
 </li>
 <li>
 Ensure data integrity and quality through data cleansing and validation processes
 </li>
 <li>
 Perform data analysis to identify trends, issues, and opportunities for improvement
 </li>
 <li>
 Collaborate with technical teams to implement data integration solutions
 </li>
 <li>
 Create and maintain documentation for data management procedures and processes
 </li>
 <li>
 Stay updated with the latest trends and best practices in data management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 Proven experience as a Data Management Specialist or similar role
 </li>
 <li>
 Strong knowledge of data management principles and methodologies
 </li>
 <li>
 Experience with data governance practices and standards
 </li>
 <li>
 Familiarity with data quality management processes
 </li>
 <li>
 Proficiency in SQL and database development
 </li>
 <li>
 Experience in data integration and ETL processes
 </li>
 <li>
 Knowledge of data analysis and reporting techniques
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Strong communication and interpersonal abilities
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Why Join Us:
 
 
 Opportunity to work with a talented and passionate team.
 
 
 Competitive salary and benefits package.
 
 
 Exciting projects and innovative work environment.
</div>

Data Management Specialist

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