Website:
parabola9.com
Job details:
๐ ๐๐โ๐ซ๐ ๐๐ข๐ซ๐ข๐ง๐ : Senior Data Engineer ๐๐ญ ๐๐๐ซ๐๐๐จ๐ฅ๐๐ต!
๐๐ฏ๐ผ๐๐ ๐ฃ๐ฎ๐ฟ๐ฎ๐ฏ๐ผ๐น๐ฎ๐ต:
Parabola9 is at the forefront of the AI revolution. We are a dynamic and innovative company dedicated to building intelligent solutions that solve real-world challenges. From AI-powered surveillance with our SPECTRA platform to high-accuracy enterprise intelligence with SENTRA, we empower our clients with data-driven insights and advanced automation. Our mission is to be a pioneering force in the AI space.
Weโre looking for a passionate and experienced Data Engineer to join our fast-growing team and play a key role in designing, building, and operating secure, reliable, and costโefficient data pipelines - within the Azure cloud ecosystem.
๐ฏ Role Overview:
You will be responsible for designing, developing, and administering enterprise data pipelines and platforms within Azure. This role focuses on managing Azure Data Factory (ADF) environments, supporting Azure Data Lake, and developing scalable data solutions to support analytics and business intelligence.
๐ผ๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐:
๐๐๐ ๐๐ฑ๐บ๐ถ๐ป๐ถ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด
- Manage and administer Azure Data Factory environments across development, testing, and production.
- Monitor pipeline execution, troubleshoot failures, and ensure high availability and performance of data workflows.
- Configure and maintain linked services, datasets, triggers, and integration runtimes.
- Implement access control, security, and governance standards within ADF.
- Support deployment processes, including CI/CD and release management.
๐๐ฎ๐๐ฎ ๐ฃ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐
- Design and develop scalable ETL/ELT pipelines using Azure Data Factory.
- Ingest and transform data from multiple sources into the Azure Data Lake.
- Optimize data workflows for performance, reliability, and cost efficiency.
๐ฆ๐ค๐ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ & ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด
- Develop and maintain complex SQL queries, stored procedures, and data transformations.
- Optimize performance across Azure SQL and related data platforms.
- Support data modeling and ensure consistency across reporting layers.
๐๐ฎ๐๐ฎ ๐๐ฎ๐ธ๐ฒ & ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ
- Maintain and organize Azure Data Lake structures (raw, curated, and presentation layers).
- Ensure data quality, consistency, and governance across the data platform.
- Support scalable and efficient data architecture aligned with business needs.
๐ฆ๐๐ฃ ๐๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป & ๐ ๐ถ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐
- Support integration with SAP systems, including BDC and Datasphere.
- Assist in data migration, mapping, and validation efforts.
- Develop and maintain pipelines connecting Azure and SAP environments.
๐๐ผ๐น๐น๐ฎ๐ฏ๐ผ๐ฟ๐ฎ๐๐ถ๐ผ๐ป
- Work closely with data analysts, business stakeholders, and IT teams to deliver data solutions.
- Translate business requirements into scalable and efficient data pipelines.
- Support ongoing data platform enhancements and modernization initiatives.
๐ง Required Skills & Qualifications:
- 8+ years of experience in data engineering, data integration, or related roles.
- Strong experience in Azure Data Factory (ADF), including development and administration.
- Advanced SQL development skills, including performance tuning and complex queries.
- Experience with Azure Data Lake and modern data architectures.
- Strong understanding of ETL/ELT processes and data pipeline design.
- Ability to monitor, troubleshoot, and resolve production data issues.
- Strong communication and collaboration skills.
๐ Preferred Skills:
- Experience with SAP BDC, Datasphere, or related SAP data platforms.
- Familiarity with Azure Synapse, Databricks, or Microsoft Fabric.
- Experience with CI/CD pipelines (Azure DevOps or similar).OpenLineage
- Understanding of data governance, security, and compliance practices.
๐ก Why Join Parabola9:
- Work on cutting-edge AI products shaping the future of enterprise intelligence.
- Be part of a collaborative and agile team where your work has a visible impact.
- Gain deep expertise in AI/ML, cloud, and multimodal systems.
- Competitive compensation, flexible work setup, and opportunities to grow.
๐ ๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: Remote
๐ฉ How to Apply:
Interested candidates should email their resume, portfolio, and a short write-up about relevant projects/experience theyโve worked on to hr@parabola9.com.
Click on Apply to know more.