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Lead Big Data Engineer
3 weeks ago
Job Opportunity:
We are looking for a seasoned professional to lead our Big Data Engineering team. As a key member of our organization, you will be responsible for designing and implementing data architectures that meet the evolving needs of our business.
Job Responsibilities:
The selected candidate will support the development of our Data Lake on Cloud and standardized Data Model. They will work closely with cross-functional teams to source data from various sources, including relational databases, NoSQL/document databases, and flat files.
Key Responsibilities:
- Design and implement scalable data pipelines using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake
- Develop expertise in working with multiple data sources, including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL/document databases, and flat files
- Collaborate with stakeholders to understand their requirements and develop effective solutions to meet business needs
Requirements:
- Proven experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
- Strong knowledge of Azure Databricks platform and at least one Cloud Infra provider (Azure/AWS)
- Experience with scripting languages (shell/bash) and familiarity with DevOps practices using Git version control
Benefits:
- Opportunity to work on large-scale data processing jobs and fine-tune and optimize them
- Chance to collaborate with a talented team of professionals and contribute to the growth of our organization
- Professional growth and opportunities for career advancement
Competencies:
- Excellent problem analysis skills
- Good communication and collaboration skills
- Ability to work as a team player and contribute to the success of our organization