Azure Databricks Engineer

3 weeks ago

Anywhere in IndiaMultiple Locations 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 problem-solving 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.

(ref:hirist.tech)

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