
Big Data Engineer Position
16 hours ago
Job Title:
Data Architect
Design, develop and maintain large-scale data pipelines for ingestion, transformation and storage.
Key Responsibilities:
- Work with Big Data ecosystems (Hadoop, Spark, Hive, or similar) 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, 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.
Benefits:
- Work on innovative, high-impact 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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