לוח משרות דרושים מתכנת ETL

abra is looking for an Informatica / ETL Developer with experience in developing and leading complex data processes in large-scale organizations. The role requires end-to-end ownership, including requirements gathering, design, development, testing, and deployment to production. Responsibilities:
* Development and maintenance of ETL processes using Informatica Cloud (IICS)
* Development and maintenance of complex ETL workflows integrating multiple components, including: Databases: MongoDB, MySQL, DB2 AS400 Files: XML, flat text files (MF), CSV Messaging systems: MQ, Kafka CDC (Change Data Capture)
* End-to-end ETL development lifecycle: requirements intake, architecture, development, testing, and production deployment.
* Rapid response to ad-hoc business requirements and production issue support.
* Performance tuning and optimization of existing ETL processes.

abra is seeking for an Frontend Developer This role requires Design, develop, and maintain ETL processes for ingesting and transforming data from multiple sources. Build and optimize data models for analytics and reporting. Work with SQL and Data Warehousing (DWH) concepts to ensure data integrity and high performance. Collaborate closely with business and technical teams. Full-time position, Sunday to Thursday, in Haifa.

We are seeking an experienced and passionate BI Developer with a strong background in Data Analysis to join our growing Data & Analytics team. In this role, you will own the entire BI development lifecycle-delivering scalable, reliable BI solutions and actionable insights.

You will play a key role in developing a robust data infrastructure, building intuitive dashboards, and ensuring data integrity across all reporting layers. The role is ideal for candidates who are adept at balancing hands-on development work and data analysis. You will thrive in this position if you enjoy solving complex problems, simplifying intricate data pipelines, and translating business needs into efficient data models and visualizations.

Core Responsibilities
Dashboard Development - Design, implement, and iterate KPI‑oriented Tableau dashboards that expose product, growth, and engagement signals.
ETL / ELT Engineering - Partner with data engineers to architect and orchestrate ELT pipelines. Youll own the analytics layer and semantic definitions.
Hands‑on experience with Amazon Redshift and dbt is a significant advantage.
Data Quality & Governance - Deploy validation tests, reconciliation queries, and lineage tracking to guarantee accuracy, consistency, and traceability across curated datasets and published metrics.
Data Analysis - Perform deep-dive analysis on dashboards to generate meaningful, actionable insights.

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.
In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing Lemonades state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer
Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
Implement best practices for data warehouse and database performance tuning
Conduct thorough testing of data applications and implement robust validation processes
Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers