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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