Data Engineer

5 days ago

Jaipur, India Dotsquares Technologies Full time

Job Description :Key Responsibilities :- Design, build, and optimize data pipelines and workflows on the Databricks platform using Apache Spark.- Develop scalable and efficient ETL/ELT processes to ingest, transform, and process large volumes of structured and unstructured data.- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.- Implement data quality checks, monitoring, and alerting to ensure pipeline reliability and accuracy.- Optimize performance of data processing jobs and storage for cost-efficiency and scalability.- Work closely with cloud engineering teams to deploy and maintain data infrastructure on cloud platforms such as Azure, AWS, or GCP.- Develop and maintain technical documentation for data architecture and pipeline processes.- Support data governance and compliance by implementing security and access controls.- Troubleshoot and resolve data issues promptly to minimize Skills & Qualifications :- 5+ years of experience in data engineering or related roles.- Strong hands-on experience with Databricks and Apache Spark (PySpark, Scala, or Spark SQL).- Proficient in programming languages such as Python, Scala, or Java.- Experience with cloud platforms (Azure, AWS, or GCP) and their data services (e.g., Azure Data Lake, S3, BigQuery).- Solid understanding of ETL/ELT concepts, data modeling, and data warehousing principles.- Experience working with large-scale datasets and distributed computing frameworks.- Familiarity with SQL and NoSQL databases.- Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code.- Strong problem-solving skills and ability to work in a fast-paced environment.- Excellent communication and collaboration Qualifications :- Experience with workflow orchestration tools like Apache Airflow or Azure Data Factory.- Knowledge of containerization (Docker, Kubernetes).- Understanding of data governance, security, and compliance standards.- Familiarity with machine learning pipelines and tools (ref:hirist.tech)

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