Job Description We are looking for a skilled professional to contribute to the design, development, and maintenance of our data infrastructure. The ideal candidate will have solid technical skills, hands-on experience in building data pipelines, and a deep understanding of scalable data systems and cloud technologies. - Develop and maintain data pipelines (batch and real-time) to ingest, process, and transform data from various sources. - Implement and optimize ETL/ELT workflows to move data efficiently into our data warehouse and data lake. - Collaborate with senior engineers and analysts to understand business requirements and translate them into data models and flows. - Work with tools like Apache Spark, Snowflake, Airflow, AWS to build reliable and scalable processing jobs. - Participate in code reviews, documentation, and testing to ensure high-quality, maintainable code. - Monitor pipeline performance and troubleshoot data-related issues as they arise. - Follow data security and governance best practices to ensure sensitive data is protected and well-managed. - Continuously learn new tools and best practices to improve development processes and system reliability. Required Skills and Qualifications - Bachelor's Degree in Computer Science, Engineering. - Strong programming skills in Python or Scala, and familiarity with SQL. - Experience building data pipelines using Apache Spark. - Understanding of data warehousing, data modeling, and relational databases (e.g., Redshift, PostgreSQL). - Hands-on experience with cloud platforms, preferably AWS (S3, Lambda, EMR, EC2, etc.). - Familiarity with version control (Git) and Agile development methodologies. - Strong problem-solving skills and a curiosity to explore and understand complex systems. - Ability to work both independently and collaboratively within a team. Benefits This is a great opportunity for someone looking to deepen their expertise in scalable data systems and cloud technologies. We offer a collaborative and dynamic work environment, opportunities for growth and professional development, and a competitive compensation package. Others Please note that this is a mid-senior level position, requiring a strong background in data engineering and a proven track record of delivering high-quality solutions.