Senior Data Engineer

Job Summary

RESPONSIBILITIES:

• Design build and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists analysts and stakeholders to understand data requirements.
• Optimize data systems for performance reliability and scalability.
• Ensure data quality governance and security practices are applied.
• Implement data integration solutions across diverse sources and formats.
• Work with cloud platforms such as AWS Azure or GCP (if applicable).

QUALIFICATIONS:

• Experience Required: 5 years
• Proficiency in SQL Python or Scala.
• Experience with ETL tools (e.g. Apache NiFi Talend Informatica).
• Knowledge of data warehouse solutions (e.g. Snowflake Redshift BigQuery).
• Familiarity with big data frameworks (e.g. Spark Hadoop).

Vertical:

Technology

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

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