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We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have expertise in Snowflake or Big Data platforms and a strong background in RDBMS skills like Oracle PL/SQL. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and optimizing database and data platform performance.
Job Responsibility:
Design, develop, and maintain scalable and efficient data pipelines
implement ETL/ELT processes
optimize data workflows for performance, scalability, and reliability
design and implement data models in Snowflake
develop and optimize Snowflake queries, stored procedures, and user-defined functions
work with Big Data technologies such as Hadoop, Spark, Hive, or HDFS
write, debug, and optimize complex PL/SQL scripts
integrate data from multiple sources, including APIs and flat files
ensure data accuracy, consistency, and integrity
collaborate with cross-functional teams to understand data requirements
document data pipelines, database designs, and processes
Requirements:
Expertise in Snowflake or Big Data platforms
strong experience in RDBMS skills, particularly Oracle PL/SQL
proficiency in SQL and database design principles
experience with ETL/ELT tools
proficiency in scripting languages such as Python and Shell scripting
knowledge of data quality, data governance, and data security best practices
strong problem-solving and analytical skills
excellent communication and collaboration skills
ability to work in a fast-paced, dynamic environment
Nice to have:
Experience with data visualization tools (e.g., Tableau, Power BI)
knowledge of CI/CD pipelines for database deployments or Big Data workflows
familiarity with real-time data processing tools (e.g., Kafka, Flink, or Storm)
certification in Snowflake, Oracle databases, or Big Data technologies
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