Senior Data Engineer

Senior Data Engineer JD Key Responsibilities: • Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines. • Develop, implement, and maintain ETL (Extract, Transform and Load) processes to collect, clean, and store data from various sources. • Optimize and enhance existing data pipelines for better performance, scalability, and reliability. • Ensure data quality and integrity through data validation, monitoring, and error handling. • Troubleshoot and resolve data-related issues in a timely manner. • Collaborate with data scientists and analysts to provide them with the necessary data sets and tools to perform advanced analytics and reporting. • Implement data security and privacy best practices to protect sensitive information. • Stay updated with the latest trends and technologies in data engineering and contribute to the continuous improvement of our data infrastructure. Skills & Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). • 5+ years of experience in data engineering or a related role. • Proficiency in programming languages such as Python, Java, or Scala. • Strong experience with data warehouse technologies (e.g., AWS Redshift, Google BigQuery, Snowflake). • Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi). • Knowledge of database systems (SQL and NoSQL) and data modeling. • Familiarity with data integration and orchestration tools (e.g., Apache Airflow). • Understanding of data security and compliance standards • Excellent problem-solving and communication skills. • Ability to work independently and collaboratively in a fast-paced environment. • Strong attention to detail and a commitment to delivering high-quality work. • Experience with version control systems (e.g., Git). • Certification in relevant data engineering technologies.