Senior Data Engineer
4 days ago
Relevant Exp : 5+YearsBudget Up to 28LPALocationsPune, Maharashtra, IndiaMinimum Experience5Maximum Experience8Skill SetDatabricks Engineer, Azure Databricks, SQL, PysparkSkill to EvaluateDatabricks Engineer, Azure Databricks, SQLExperience5 to 8 YearsLocationPune, Maharashtra, IndiaJob DescriptionJob Title: Senior Data EngineerKey Responsibilities:- Design, build, and maintain scalable data pipelines and ETL processes.- Collaborate with data scientists and analysts to understand data needs and provide support for their analytics requirements.- Develop and implement data models, database designs, and data management solutions.- Ensure data quality, integrity, and consistency across various data sources.- Optimize data storage, processing, and retrieval for performance and efficiency.- Monitor and troubleshoot data pipelines to ensure they are running smoothly.- Stay up to date with industry trends and best practices in data engineering.- Mentor junior data engineers and promote a culture of knowledge sharing.Skills and Tools Required:- Strong proficiency in programming languages such as Python, Java, or Scala.- Extensive experience with SQL and NoSQL databases, including but not limited to PostgreSQL, MySQL, MongoDB, or Cassandra.- Expertise in data warehousing solutions, such as Amazon Redshift, Google BigQuery, or Snowflake.- Familiarity with data pipeline orchestration tools like Apache Airflow, Apache NiFi, or Prefect.- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.- Understanding of cloud platforms, including AWS, Azure, or Google Cloud.- Experience with data modeling, data governance, and data security best practices.- Strong analytical and problem-solving skills, with attention to detail.- Excellent communication skills and ability to work collaboratively in a team environment.
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