Chief Data Pipeline Architect
19 hours ago
A Data Engineer at CodeVyasa plays a pivotal role in designing, developing and maintaining robust data pipelines for efficient ingestion, transformation and storage of large-scale data.
Responsibilities include working with Big Data ecosystems (Hadoop, Spark, Hive) to process structured and unstructured data, developing efficient ETL processes to integrate data from multiple sources into data warehouses/lakes and writing and optimizing SQL queries for data validation, transformation and analytics.
- Proven experience in Big Data technologies is essential.
- Strong expertise in SQL (query optimization, stored procedures, complex joins) is mandatory.
- Hands-on experience with ETL tools/processes is required.
- Deep understanding of Data Warehousing concepts is necessary.
- Proficiency in programming languages like Python, Java or Scala is desirable.
Collaborating with data analysts, data scientists and business stakeholders to understand requirements and deliver reliable solutions is crucial. Implementing data quality, governance and security standards and optimizing data workflows for scalability and performance in production environments are key aspects of the role.
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