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Senior Data Engineer

Senior Data Engineer

Live Connectionsaurangabad, maharashtra, in
30+ days ago
Job description

Relevant Exp : 5+Years

Budget Up to 28LPA

Locations

Pune, Maharashtra, India

Minimum Experience

Maximum Experience

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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