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5 YoE - Data Engineer PySpark/Spark Scala with Cloud & SQL

Fresher   Hyderabad, Telangana   13 Aug, 2025
UST
Job LocationHyderabad, Telangana
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines using Spark, specifically PySpark or Spark with Scala. Your role will involve building data ingestion and transformation frameworks for various structured and unstructured data sources. Collaboration with data analysts, data scientists, and business stakeholders is essential to understand requirements and deliver reliable data solutions. Working with large volumes of data, you will ensure quality, integrity, and consistency while optimizing data workflows for performance, scalability, and cost efficiency on cloud platforms such as AWS, Azure, or GCP. Implementation of data quality checks and automation for ETL/ELT pipelines is a critical aspect of this role. Monitoring and troubleshooting data issues in production, along with performing root cause analysis, will be part of your responsibilities. Additionally, documenting technical processes, system designs, and operational procedures will be necessary.The ideal candidate for this position should have at least 3 years of experience as a Data Engineer or in a similar role. Hands-on experience with PySpark or Spark using Scala is required, along with a strong knowledge of SQL for data querying and transformation. Experience working with any cloud platform (AWS, Azure, or GCP) and a solid understanding of data warehousing concepts and big data architecture are essential. Familiarity with version control systems like Git is also a must-have skill.In addition to the must-have skills, it would be beneficial to have experience with data orchestration tools like Apache Airflow, Databricks Workflows, or similar. Knowledge of Delta Lake, HDFS, or Kafka, familiarity with containerization tools (Docker/Kubernetes), exposure to CI/CD practices and DevOps principles, and an understanding of data governance, security, and compliance standards are considered good-to-have skills.If you meet the above requirements and are ready to join immediately, please share your details via email to hidden_email fast for immediate attention!,

Keyskills :
ScalaSQLAWSAzureGCPGitHDFSKafkaDockerKubernetesDevOpsPySparkApache AirflowDatabricks WorkflowsDelta Lake

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