
Opportunity for Innovative Data Engineers
2 days ago
Dear Candidate,
We are looking for a highly skilled professional to lead our data engineering team and design innovative Databricks-based solutions.
This is an opportunity to architect and optimize data pipelines, provide technical leadership, and collaborate with stakeholders to define project requirements and deliverables.
- Design and implement scalable data architectures using Databricks.
- Optimize data pipelines for batch and streaming data ingestion.
- Provide technical guidance and mentorship to junior engineers.
Key Technical Skills & Responsibilities
- Expertise in data engineering using Databricks or Apache Spark-based platforms.
- Proven track record of building and optimizing ETL/ELT pipelines for batch and streaming data ingestion.
- Hands-on experience with Azure services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, or Azure SQL Data Warehouse.
- Proficiency in programming languages such as Python, Scala, SQL for data processing and transformation.
- Knowledge of Delta Lake, Delta Live Tables, and medallion architecture for data Lakehouse implementations.
Eligibility Criteria:
- Bachelor's degree in computer science, Data Engineering, or a related field.
- Extensive experience with Databricks, Delta Lake, PySpark, and SQL.
- Databricks certification (e.g., Certified Data Engineer Professional).
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