Senior Data Engineer

3 days ago

New Delhi, India Live Connections Full time

Relevant Exp : 5+Years Budget Up to 28LPA Locations Pune, Maharashtra, India Minimum Experience 5 Maximum Experience 8 Skill Set Databricks Engineer, Azure Databricks, SQL, Pyspark Skill to Evaluate Databricks Engineer, Azure Databricks, SQL Experience 5 to 8 Years Location Pune, Maharashtra, India Job Description Job Title: Senior Data Engineer Key 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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