Technology Lead - Contract role

Orcapod Consulting Services

10 - 20 years

15 - 30 Lacs

Bengaluru

Posted:23 hours ago| Platform:

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Skills Required

Hadoop Databricks Python Airflow Spark AWS

Work Mode

Work from Office

Job Type

Full Time

Job Description

Databricks Engineer: 9+ years of total experience with 5 years relevant experience in the mandatory skills.

Mandatory Skills: Databricks, Hadoop, Python, Spark, Spark SQL, PySpark, AirFlow And IBM StreamSet

Required Skills & Experience:

Develop Data Engineering and ML pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda to build serverless applications
Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse).
Knowledge on medallion architecture, DLT and unity catalog within Databricks.
Experience in migrating data from on-prem Hadoop to Databricks/AWS
Understanding of core AWS services, uses, and AWS architecture best practices
Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
Solid knowledge on Airflow
Solid knowledge on CI/CD pipeline in AWS technologies
Application migration of RDBMS, java/python applications, model code, elastic etc.

Solid programming background on scala, python, SQL

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