Data Engineer UST

About UST

Job Description

The ideal candidate ready to join immediately can share their details via email for quick processing at nitin.patil@ust.com. Act swiftly for immediate attention! With over 5 years of experience, the successful candidate will have the following roles and responsibilities: - Designing, developing, and maintaining scalable data pipelines using Spark (PySpark or Spark with Scala). - Constructing data ingestion and transformation frameworks for both structured and unstructured data sources. - Collaborating with data analysts, data scientists, and business stakeholders to comprehend requirements and deliver reliable data solutions. - Handling large volumes of data while ensuring quality, integrity, and consistency. - Optimizing data workflows for enhanced performance, scalability, and cost efficiency on cloud platforms such as AWS, Azure, or GCP. - Implementing data quality checks and automation for ETL/ELT pipelines. - Monitoring and troubleshooting data issues in production environments and conducting root cause analysis. - Documenting technical processes, system designs, and operational procedures. Key Skills Required: - Minimum 3 years of experience as a Data Engineer or in a similar role. - Proficiency with PySpark or Spark using Scala. - Strong grasp of SQL for data querying and transformation purposes. - Previous experience working with any cloud platform (AWS, Azure, or GCP). - Sound understanding of data warehousing concepts and big data architecture. - Familiarity with version control systems like Git. Desired Skills: - Exposure to data orchestration tools such as Apache Airflow, Databricks Workflows, or equivalent. - Knowledge of Delta Lake, HDFS, or Kafka. - Familiarity with containerization tools like Docker/Kubernetes. - Experience with CI/CD practices and familiarity with DevOps principles. - Understanding of data governance, security, and compliance standards.,