Website:
remotepajamajobs.com
Job details:
๐ฅ๐ฒ๐บ๐ผ๐๐ฒ ๐ฃ๐ฎ๐ท๐ฎ๐บ๐ฎ ๐๐ผ๐ฏ๐ ๐ถ๐ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ณ๐ฎ๐๐๐ฒ๐๐-๐ด๐ฟ๐ผ๐๐ถ๐ป๐ด new remote job boards, on a mission to make finding quality remote work easier, more accessible, and ๐บ๐ผ๐ฟ๐ฒ ๐ฎ๐ณ๐ณ๐ผ๐ฟ๐ฑ๐ฎ๐ฏ๐น๐ฒ ๐๐ต๐ฎ๐ป ๐ฐ๐ผ๐บ๐ฝ๐ฒ๐๐ถ๐ป๐ด ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ๐.
We connect job seekers with handpicked remote opportunities, helping them discover their next career move without the hassle or high costs of traditional job boards.
๐ช๐ถ๐๐ต ๐ญ,๐ฌ๐ฌ๐ฌ+ ๐ฐ๐ฎ๐ป๐ฑ๐ถ๐ฑ๐ฎ๐๐ฒ๐ ๐ฎ๐น๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ถ๐ป๐ด ๐ผ๐๐ฟ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ, weโre building a smarter, more accessible way to connect talent with remote career opportunities. Our goal is to challenge traditional remote job boards with a streamlined, user-friendly experience that puts job seekers first.
Qualifications
- Candidates should possess strong Data Engineering and Data Warehousing skills for building and maintaining scalable data infrastructure.
- Candidates should possess Data Modeling skills to design efficient, well-structured schemas that support analytics and product needs.
- Candidates should possess Extract Transform Load (ETL) skills to create and optimize reliable data pipelines from multiple sources.
- Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate on insight-driven decisions.
- Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
- Experience with cloud data platforms and services (such as AWS, Azure, or GCP) and modern data tools (for example, Spark, dbt, or Airflow).
- Strong problem-solving, documentation, and communication skills, with the ability to collaborate in a remote, distributed environment.
- Bachelorโs degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
- Experience in data engineering, data integration, or a related technical role.
- Strong proficiency in SQL and experience working with relational databases.
- Programming experience in Python, Java, Scala, or a similar language.
- Hands-on experience developing ETL/ELT pipelines and data transformation workflows.
- Knowledge of data warehousing, data modeling, and database design principles.
- Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Familiarity with data processing frameworks and orchestration tools.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.
- Familiarity with Apache Spark, Apache Kafka, or other distributed data processing technologies.
- Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
- Knowledge of data lake and lakehouse architectures.
- Experience with version control systems such as Git and CI/CD practices.
- Familiarity with data governance, metadata management, and data observability tools.
- Experience working in Agile or cross-functional engineering teams.
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