обновлено 3 дня назад
ETL Developer (Cloud Data)
115 000 - 175 000$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ETL Developer (Cloud Data): Building and optimizing enterprise-scale ETL/ELT pipelines for data warehouses, cloud analytics platforms, regulatory reporting, and business intelligence with an accent on data integration, SQL performance, data quality, and cloud migration. Focus on designing batch and near real-time workflows, implementing CDC and SCD strategies, modernizing legacy pipelines on Azure and AWS, and supporting high-volume production data systems.
Location: 100% remote within the United States
Salary: $115,000–$175,000 annually
Company
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
What you will do
- Design, develop, and maintain enterprise ETL/ELT pipelines for large-scale data integration projects.
- Build ingestion and transformation workflows for relational databases, cloud applications, APIs, flat files, and enterprise systems.
- Implement CDC, SCD Type 1 and Type 2, incremental loading, reconciliation, data validation, and quality processes.
- Optimize batch and near real-time pipelines using query tuning, partitioning, indexing, and parallel processing.
- Migrate legacy ETL workloads to Azure or AWS and develop reusable, metadata-driven integration frameworks.
- Monitor production workflows, troubleshoot failures, support deployments, and collaborate on architecture, governance, security, and compliance.
Requirements
- Must be located in the United States.
- Five or more years of professional experience developing enterprise ETL solutions.
- Hands-on experience with Informatica PowerCenter, SSIS, Talend, IBM DataStage, Pentaho, or similar ETL platforms.
- Advanced SQL skills with SQL Server, Oracle, PostgreSQL, Snowflake, or Teradata, plus strong knowledge of relational databases, dimensional modeling, and data warehousing.
- Experience with CDC, SCD, incremental loading, complex transformations, data validation, and structured or semi-structured formats including JSON, XML, CSV, Parquet, and Avro.
- Experience with Azure Data Factory, AWS Glue, or Google Cloud Data Fusion, workflow schedulers, scripting, Git, CI/CD tools, Agile Scrum, and enterprise SDLC processes.
Nice to have
- Experience with Snowflake, Azure Synapse Analytics, Amazon Redshift, or Google BigQuery.
- Knowledge of Apache Spark, Databricks, PySpark, streaming technologies, Data Vault 2.0, or lakehouse architecture.
- Experience with MDM, data quality, governance, lineage, cataloging, BI integration, or automated ETL deployments.
- Cloud certifications in Azure, AWS, Snowflake, or Informatica.
Culture & Benefits
- Full-time direct W2 employment.
- Work on enterprise data modernization initiatives across financial services, healthcare, insurance, and retail.
- Contribute to high-volume pipelines processing billions of records from ERP, CRM, HR, and financial systems.
- Projects include cloud data warehouse modernization, real-time analytics, Customer 360, MDM, regulatory reporting, and lakehouse implementation.
Hiring process
- Submit a resume for consideration by email or phone.
- U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates may apply; new H-1B visa petitions cannot be sponsored.
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