You need strong programming skills in languages such as Python, Java, or Scala, proficiency in SQL, and experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of cloud platforms (AWS, Azure, GCP), data warehousing solutions, and ETL processes are also essential.
Typically, a degree in computer science, data science, or a related field is required. Relevant certifications in data engineering or cloud platforms can enhance your qualifications. A solid portfolio or experience with data architecture projects is also beneficial.
Responsibilities include building and maintaining data pipelines, ensuring data quality and integrity, collaborating with data scientists and analysts, optimizing data storage solutions, and implementing security measures. You'll also need to monitor system performance and troubleshoot issues.
Benefits include flexible work hours, the ability to work from anywhere, less commuting stress, and an improved work-life balance. Remote Data Platform Engineers also get to work with diverse technologies and collaborate with global teams.