
Senior Data Technology Specialist
1 day ago
The ideal candidate should have a minimum of 5+ years of experience in Big Data technologies, including Hadoop, Spark, Hive, and HDFS.
- We are looking for an expert to design and develop efficient ETL processes to integrate data from multiple sources into data warehouses/lakes.
- Collaboration with data analysts, data scientists, and stakeholders is essential to understand requirements and deliver reliable solutions.
Key Responsibilities:
- Maintain high-quality data pipelines, adhering to industry standards and security protocols.
- Design and implement scalable data architecture for seamless data ingestion, transformation, and storage.
Required Skills & Qualifications:
- Proven experience in Big Data technologies (Hadoop, Spark, Hive, HDFS, Kafka, etc.).
- Expertise in SQL (query optimization, stored procedures, complex joins).
- Hands-on experience with ETL tools/processes (Informatica, Talend, Apache NiFi, Airflow, or custom ETL).
Benefits:
- Opportunity to work on innovative projects with a team of top-tier professionals.
- Continuous learning opportunities and professional growth.
- Flexible work environment with a supportive company culture.
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