Azure Databricks Engineer

1 week ago

India Optivalue tek consulting Full time

Key Responsibilities :

  • Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions.
  • Build and operate very large data warehouses or data lakes.
  • ETL optimization, designing, coding, & tuning big data processes using Apache Spark.
  • Build data pipelines & applications to stream and process datasets at low latencies.
  • Show efficiency in handling data tracking data lineage, ensuring data quality, and improving discoverability of data.

Technical Experience :

  • Minimum of 2 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake.
  • Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery.
  • Minimum of 3 years of experience years in real time streaming using Kafka/Kinesis
  • Minimum 4 year of Experience in one or more programming languages Python, Java, Scala.
  • Experience using airflow for the data pipelines in min 1 project.
  • 2 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform
  • Good knowledge on Data Warehousing

Professional Attributes:

  • Ready to work in C Shift (1 PM 11 PM)
  • A Client facing skills: solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders.
  • Good critical thinking and problemsolving abilities
  • Health care knowledge
  • Good Communication Skills

Educational Qualification :
Bachelor of Engineering / Bachelor of Technology

Additional Information :
Data Engineering, PySpark, AWS, Python Programming Language, Apache Spark, Databricks, Hadoop, Certifications in Databrick or Python or AWS.
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