Sr. Data Engineer

Job Description :

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data warehouses, data lakes, and real-time streaming solutions.
• Collaborate with cross-functional teams to define data requirements and ensure data accuracy and consistency.
• Develop and maintain database structures and schemas for efficient data storage and retrieval.
• Optimize data workflows for performance, reliability, and scalability.
• Implement data security, governance, and compliance best practices.
• Monitor, troubleshoot, and improve data pipelines to ensure uptime and reliability.
• Automate data-related processes to improve efficiency and reduce manual intervention.

Required Qualifications :

• Excellent communication skills
• 5+ years of experience / 3 -4 years of experience as a Data Engineer.
• Proficiency in SQL and database management (PostgreSQL, MySQL, SQL Server, etc.).
• Experience with ETL tools such as Pentaho, Talend, Cdata and SSIS
• Exposure to Python, Java, or Scala for data processing is a plus
• Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Familiarity with cloud services (AWS, Azure) and data storage solutions like S3, Redshift, Snowflake, or BigQuery.
• Knowledge of data modeling, warehousing concepts, and data architecture best practices.
• Experience working with APIs and data integration.
• Strong problem-solving skills and ability to work with large, complex datasets.