ETL Jobs

Looking for BlackRock Aladdin Experts with Implementation experience. Data engineer, technical Business Analyst, please detail your specific experience. I need hands-on practitioners who have delivered full Aladdin Implementations, with a sharp focus on Performance and FactSet integration. Your background must show you have handled Data Mapping, carried out precise System Configuration, and driven rigorous Testing and Validation for this specific stream. Please reference concrete projects where you owned or significantly contributed to these areas, noting any challenges you solved around data pipelines, integration touchpoints, and post-go-live support. Include the tools and techniques you relied on inside the Aladdin ecosystem.

I need to move an entire set of database records from a proprietary legacy archive into a new cloud-based content management system. The source isn’t MySQL, PostgreSQL, or Oracle—it’s a home-grown format—so the job starts with understanding and reverse-engineering its schema and export routines. From there we’ll design an ETL pipeline that transforms each field cleanly into the structures required by the target CMS while preserving every relation, timestamp, and audit trail. Deliverables • Technical mapping document that explains each field’s journey from legacy tables to the cloud schema • Re-usable migration scripts or jobs (Python, SQL, or the ETL tool of your choice) stored in a version-controlled repo • One full test migration ...

Dear Data Engineers, We are currently looking for mutliple Data Engineers for one of the leading tech companies in Europe. The position is 100% remote and long-term. QUICK FACTS: - Freelancing/Contracting - Start: ASAP - 100% remote - Duration: long-term 12+ months - Capacity: full-time, part-time also possible - Language: English (no german needed!!) - German business hours REQUIREMENTS: - Experience in data engineering, ideally in Microsoft Azure environments. - Knowledge of Databricks, Apache Spark, and Medallion Architecture. - Experience with Delta Lake / Delta Tables, including concepts such as Row-Level Security. - Ability to work with Spark DataFrames, Spark SQL, and UDFs. - Good Python skills for data processing, transformation, and pipeline development. Are you interested? I...

I need a clean, well-tested Python pipeline that listens to our MongoDB (DocumentDB) product collection, transforms each incoming SKU document, and pushes the result into Apache Solr so the search index is always in lock-step with the source data. What the transform must do • Enrich taxonomy on two fronts: category as well as attribute level. • Keep only English content for now, but structure the code so Spanish or French could be switched on with minimal effort. • Filter out the fields we don’t want surfaced—specifically the SKU number, product description and price—while leaving all other data intact. • Merge duplicates that share the same SKU logic we will provide. Runtime behaviour The service should behave like a sink connector: near...

I’m looking for an experienced ETL specialist (10 + years) who can step in as my on-call partner during my working hours, 8 am – 3 pm CST, all online and paid monthly. I work in a finance environment that relies heavily on Snowflake and DBT, so the focus is on keeping daily data pipelines healthy, performant, and well-tested. During each session you will help me: • Extract, transform, and load data from multiple sources. • Configure, tune, and troubleshoot Snowflake warehouses. • Design, refactor, and test DBT models. The tech stack you’ll need to be fully comfortable with includes: • SQL for complex queries and performance tuning. • Python for ad-hoc scripts, utilities, and automation. • Apache Spark for the occasional large-scale ...

I have several source systems that need to be consolidated into an IBM Netezza warehouse, and I want the entire flow built and managed in IBM DataStage. Your core focus will be data integration: designing, developing, and tuning DataStage jobs that land clean, well-modeled data into Netezza on a repeatable schedule. You should be comfortable setting up connection objects, handling complex transformations, managing large volumes, and troubleshooting performance issues unique to the DataStage-Netezza combination. I’m also counting on you to put basic operational controls in place—parameter sets, restartability, error logging—so the solution is production-ready from day one. When you respond, walk me through the DataStage and Netezza projects you’ve delivered before,...

I’m rolling out Gemini across the enterprise with a clear, first-phase objective: streamline our Project site data and financial data flow by linking Gemini directly to the Google Sheets models that many teams still rely on for daily reporting. The end-state I’m after is a single, trusted data layer that Gemini can expose to analytics and downstream applications in near-real time, removing the manual exports and copy-paste steps that slow us down today. This engagement is focused on: • Configuring Gemini so it can ingest, transform, and publish our Google Sheets financial datasets with full schema mapping and refresh scheduling. • Setting up secure authentication and any required service accounts, making sure permissioning follows least-privilege principles. ...