{"schemaVersion":"jobsearcher.job.v1","id":"68f0c5525b6b06143d657406","url":"https://jobsearcher.com/jobs/68f0c5525b6b06143d657406","canonicalUrl":"https://jobsearcher.com/jobs/68f0c5525b6b06143d657406","title":"Entry Level Data Engineer","description":"Location: RemoteEmployment Type: Full-TimeExperience: Fresher or Entry Level JobEntry Level Graduates, Freshers and Students with no Experience Can also apply for this JobAbout UsWe're a fast-growing company driven by dataWe're looking for a skilled and enthusiastic Junior Data Engineer to join our team and help us shape the future of our data infrastructureThis is a fully remote role work from wherever you're most productiveIf you're passionate about data and eager to make a real impact, we want to hear from youAbout the RoleAs a Junior Data Engineer, you'll be a key player in our data engineering effortsYou'll be working hands-on, collaborating with a talented team, and contributing directly to the development and maintenance of our data pipelines and infrastructureThis role offers a unique opportunity to learn, grow, and make a tangible difference in how we leverage dataWhat You'll Do:Design and build robust data pipelines using tools like Databricks, Spark, and PySparkDevelop and maintain our data warehouse and data models, ensuring they meet the needs of our analytics and operations teamsDive into data transformation and processing with SQL and PythonPartner with engineers, analysts, and stakeholders across the company to understand their data needs and deliver effective solutionsMaintain clean and organized code using GitContribute to our ongoing efforts to improve data quality and ensure data integrityWhat You'll Need:0-1+ years of experience in data engineeringA solid understanding of cloud platforms like AWS or AzureStrong skills in Python, SQL, Spark, and PySparkPractical experience with cloud-based ETL toolsA genuine passion for problem-solving and a desire to learn and growExcellent communication skills 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data pipelines and infrastructureThis role offers a unique opportunity to learn, grow, and make a tangible difference in how we leverage dataWhat You'll Do:Design and build robust data pipelines using tools like Databricks, Spark, and PySparkDevelop and maintain our data warehouse and data models, ensuring they meet the needs of our analytics and operations teamsDive into data transformation and processing with SQL and PythonPartner with engineers, analysts, and stakeholders across the company to understand their data needs and deliver effective solutionsMaintain clean and organized code using GitContribute to our ongoing efforts to improve data quality and ensure data integrityWhat You'll Need:0-1+ years of experience in data engineeringA solid understanding of cloud platforms like AWS or AzureStrong skills in Python, SQL, Spark, and PySparkPractical experience with cloud-based ETL toolsA genuine passion for problem-solving and a desire to learn and growExcellent communication skills 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