Lead - Etl Azure Adf Job in Prokarma

Lead - ETL Azure ADF

Overview

Experience should be between 7-10 yrs. At least 4+ years relevant experience in data engineering is mandatory

Ability to Create and maintain optimal ETL/ELT data pipelines using AZure ADF/Azure SQLDW and Azure Synapse

Having experience on Hadoop/AWS/GCP apart from Azure Data Warehousing is a strong plus.

Very Strong SQL knowledge and experience working with relational SQL and NoSQL databases.

Very strong knowledge in implementing data transformations using Stored procedures

Good Experience in migrating onprem datawarehouse/datamart to modern cloud data warehousing is a strong plus

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Ability to understand requirements and create required data Models and data Mapping documents, tables and other sql objects needed.

Ability to Write unit/integration tests, contributes to engineering wiki, and documents work.

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Ability to Implement processes and systems to monitor data quality, ensuring production data is always accurate.

Collaborates with analytics and business teams to improve data models that feed business intelligence tools

Strong analytic skills related to working with structured/unstructured datasets.

Knowledge on Visualization/Reporting tools like Power BI/AWS Quicksight/GCP Datastudio is an added advantage

knowledge on real time stream processing using Spark/Kafka is an added advantage

Responsibilities

Experience should be between 7-10 yrs. At least 4+ years relevant experience in data engineering is mandatory

Ability to Create and maintain optimal ETL/ELT data pipelines using AZure ADF/Azure SQLDW and Azure Synapse

Having experience on Hadoop/AWS/GCP apart from Azure Data Warehousing is a strong plus.

Very Strong SQL knowledge and experience working with relational SQL and NoSQL databases.

Very strong knowledge in implementing data transformations using Stored procedures

Good Experience in migrating onprem datawarehouse/datamart to modern cloud data warehousing is a strong plus

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Ability to understand requirements and create required data Models and data Mapping documents, tables and other sql objects needed.

Ability to Write unit/integration tests, contributes to engineering wiki, and documents work.

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Ability to Implement processes and systems to monitor data quality, ensuring production data is always accurate.

Collaborates with analytics and business teams to improve data models that feed business intelligence tools

Strong analytic skills related to working with structured/unstructured datasets.

Knowledge on Visualization/Reporting tools like Power BI/AWS Quicksight/GCP Datastudio is an added advantage

knowledge on real time stream processing using Spark/Kafka is an added advantage

Qualifications

B.E / B. Tech / MCA / Masters in computer science or any other equivalent experience is preferred.

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