
Data Scientist Professional
19 hours ago
We are seeking a highly skilled and experienced data scientist professional to join our team.
As a data scientist professional, you will be responsible for designing, developing, and maintaining large-scale data pipelines.
Key Responsibilities:
- Design, develop, and maintain data pipelines for ingestion, transformation, and storage of large-scale data.
- Work with big data ecosystems (Hadoop, Spark, Hive) to process structured and unstructured data.
- Develop efficient ETL processes to integrate data from multiple sources into data warehouses/lakes.
- Write and optimize SQL queries for data validation, transformation, and analytics.
- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable solutions.
- Implement data quality, governance, and security standards.
- Optimize data workflows for scalability and performance in production environments.
Required Skills & Qualifications:
- Proven experience in big data technologies (Hadoop, Spark, Hive).
- Strong expertise in SQL (query optimization, stored procedures, complex joins).
- Hands-on experience with ETL tools/processes (Informatica, Talend, Apache NiFi, Airflow).
- Deep understanding of data warehousing concepts (star schema, snowflake schema, fact/dimension tables).
- Proficiency in programming languages like Python, Java, or Scala.
- Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse) is a plus.
- Strong problem-solving and debugging skills.
Preferred Qualifications:
- Experience in real-time data streaming (Kafka, Flink, Kinesis).
- Knowledge of containerization & orchestration (Docker, Kubernetes).
- Familiarity with DevOps practices for CI/CD in data engineering.
Why Work With Us?
- Work on innovative, high-impact projects with a top-tier team.
- Continuous learning opportunities and professional growth.
- Flexible work environment with a supportive culture.
- Competitive salary and comprehensive benefits package.
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