
Data Architect
5 days ago
We are seeking an experienced Big Data Engineer to contribute to our team. The ideal candidate will have a strong background in designing, developing, and maintaining data pipelines for large-scale data processing.
Key Responsibilities:
- Design and develop efficient data pipelines for ingestion, transformation, and storage of large-scale data using Big Data ecosystems like Hadoop, Spark, Hive, or similar technologies.
- Develop 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, HDFS, Kafka, etc.).
- Strong expertise in SQL (query optimization, stored procedures, complex joins).
- Hands-on experience with ETL tools/processes (Informatica, Talend, Apache NiFi, Airflow, or custom ETL).
- Deep understanding of Data Warehousing concepts (star schema, snowflake schema, fact/dimension tables).
- Proficiency in programming languages like Python, Java, or Scala (for data manipulation).
- Experience with cloud platforms (AWS Redshift, GCP BigQuery, Azure Synapse, or Snowflake) is a plus.
- Strong problem-solving and debugging skills.
Professional Growth Opportunities:
Our team values continuous learning and growth. We provide opportunities for professional development, including training, mentorship, and conference attendance.
What We Offer:
Competitive salary and benefits package, flexible work arrangements, and a dynamic work environment.
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