Deskripsi Pekerjaan
Join Focal Consulting as a Data Engineer and play a pivotal role in shaping the future of data infrastructure for our clients. In this exciting opportunity, you will be responsible for architecting, scaling, and optimizing modern AWS data ecosystems and robust ingestion pipelines. As a Data Engineer, you will transform raw data into valuable insights that drive business decisions and innovation.
We are seeking a talented individual with a passion for data engineering and cloud technologies. You will work with cutting-edge tools and technologies to build scalable data solutions that meet the evolving needs of our clients. Your expertise will be instrumental in designing and implementing data warehouses, data lakes, and ETL processes that ensure data quality, reliability, and accessibility.
At Focal Consulting, we value creativity, technical excellence, and collaborative problem-solving. You will have the opportunity to work on diverse projects across various industries, expanding your skills and knowledge while making a significant impact through your data engineering expertise.
Tanggung Jawab
- Design, implement, and maintain scalable data pipelines and ETL processes
- Architect and optimize AWS-based data ecosystems including data lakes and data warehouses
- Ensure data quality, integrity, and security through robust data governance practices
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Monitor, troubleshoot, and optimize data systems for performance and reliability
- Stay current with emerging data technologies and best practices in data engineering
- Document data architectures, processes, and standards for knowledge sharing
Kualifikasi
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
- 3+ years of experience in data engineering, data warehousing, or related roles
- Strong proficiency in AWS services (S3, Redshift, Glue, Lambda, etc.)
- Experience with ETL tools and technologies (e.g., Apache NiFi, Talend, Informatica)
- Knowledge of programming languages such as Python, Java, or Scala
- Familiarity with SQL and NoSQL databases
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
- Strong problem-solving skills and attention to detail