Data Engineer
1 week ago
Hiring a Data Engineer with 5 to 10 years of experience skilled in Databricks, Spark, ETL, and cloud platforms. The role involves building scalable data pipelines, optimising workflows, and managing end-to-end data processing across AWS, Azure, or GCP. Location is Navi Mumbai or Pune.
Key Responsibilities
- Design, develop, and maintain data pipelines using Databricks and Apache Spark.
- Extract, transform, and load (ETL) data from various sources(structured and unstructured) into the Databricks platform.
- Optimize data pipelines for performance and scalability.
- Collaborate with data analysts and data scientists to understand data requirements and provide data solutions.
- Implement data quality checks and monitoring mechanisms.
- Troubleshoot and resolve data pipeline issues.
- Stay up-to-date with the latest data engineering technologies and best practices.
- Participate in code reviews and contribute to documentation to ensure best practices are followed.
Required Skills And Experience
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- 5+ years of experience in data engineering or related fields.
- Strong proficiency in Python or Scala programming languages.
- Hands-on experience with Databricks and Apache Spark.
- Knowledge of SQL and data warehousing concepts.
- Experience with cloud platforms (AWS, Azure, GCP).
- Understanding of data modeling and data warehousing principles.
- Strong problem-solving and analytical skills, with attention to detail.
- Excellent communication and collaboration skills.
- Exposure to CI/CD practices in Databricks environments.
- Basic knowledge of machine learning lifecycle and model deployment on Databricks.
- Experience with data orchestration tools such as Apache Airflow.
Skills: apache spark,aws,spark,data engineering,gcp,python
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