Job Description
- Location:- Wilmington, DE (5 days office mandatory).
- No of Position 1
- Job title:- Data Engineer (Preferred Ex Banking candidates)
- Experience 8 years
JD:-
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, PySpark, Python, and SQL. The candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data-processing solutions in a cloud-based data environment.
The candidate should be a hands-on Data Engineer who has personally built and supported Databricks solutions, rather than someone with only theoretical exposure. They should be able to explain real examples of PySpark transformations, ETL/ELT pipelines, Delta Lake implementations, performance optimization, data-quality controls, and production troubleshooting.
Key Skills:- Databricks | PySpark | Python | SQL | ETL/ELT | Delta Lake | Spark | Cloud | Data Engineering.
Responsibilities- Design and develop scalable ETL/ELT data pipelines using Databricks.
- Develop data-processing and transformation solutions using PySpark and Python.
- Write complex SQL queries for data transformation, validation, and analysis.
- Build and maintain solutions using Delta Lake and Lakehouse architecture.
- Integrate data from multiple sources, including databases, APIs, files, and cloud storage.
- Optimize Spark jobs, Databricks workloads, and SQL queries for performance and cost efficiency.
- Implement data-quality, validation, reconciliation, monitoring, and error-handling mechanisms.
- Troubleshoot production data issues and perform root-cause analysis.
- Collaborate with business analysts, architects, and application teams to translate business requirements into technical solutions.
- Follow engineering best practices for testing, source control, CI/CD, documentation, and production deployment.
Required Skills & Experience- 5 8 years of overall Data Engineering experience.
- Strong hands-on experience with Databricks.
- Strong hands-on development experience using PySpark / Apache Spark.
- Strong Python programming skills and advanced SQL skills.
- Experience developing production-grade ETL/ELT pipelines.
- Experience with Delta Lake and Lakehouse concepts.
- Experience processing large-volume and complex datasets.
- Good understanding of data modeling, data quality, and data governance principles.
- Strong troubleshooting and performance-tuning skills.
- Experience with at least one cloud platform: Microsoft Azure, AWS, or Google Cloud.
- Experience with Git and CI/CD practices.
Good to Have Skills- Databricks Unity Catalog experience.
- Databricks Workflows / Jobs and cluster optimization experience.
- Experience with Azure Data Factory or Apache Airflow.
- Experience with Kafka or Spark Structured Streaming.
- Knowledge of cloud-native storage and data services.
- Databricks or cloud certification.
- Experience in banking or financial-services data environments.
Numbers & Facts
| Location | dallas, TX |
| Industry | Computer/IT Services |
| Salary | $50–$55 Per Hour |
| Company Size | 500 to 999 employees |
| Website | https://www.apolisrises.com/ |
Benefits
Paid Sick Days, Employee Referral Program, Employee Events, Retirement / Pension Plans
About Company
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
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