Azure Data Engineers / AWS Data Engineers

Remote

IMC Group

IMC Group provides solutions on Corporate Advisory, Global Mobility, Accounting and Bookkeeping, Family Advisory and Global Formation.

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Requirements

Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, on AWS / Azure

Experience in developing ETL, OLAP based and Analytical Applications.

Experience in ingesting batch and streaming data from various data sources.

Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)

Ability to quickly learn and develop expertise in existing highly complex applications and architectures.

Exposure to AWS platform's data services (AWS Lambda, Glue, Athena, Redshift, Kinesis etc.)

Proficiency in Azure technologies

such as Azure Data Factory (ADF), Azure Data Bricks (ADB),Azure Synapse Analytics, Azure Active Directory, Azure Storage, Azure data Lake Services  (ADLS), Azure key vault, Azure SQL DB, Azure HD Insight.

Experience in Airflow DAGS, AWS EMR, S3, IAM and other services

Snowflake or Redshift data warehouses

Experience of DevOps and CD/CD tools.

Familiarity with Rest APIs

·         Clear and precise communication skills

·         Experience with CI/CD pipelines, branching strategies, & GIT for code management

·         Comfortable working in Agile projects




Benefits

Best in the industry
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow APIs Architecture Athena AWS Azure CI/CD Databricks Data pipelines DevOps ETL Git Kinesis Lambda OLAP Oracle Pandas Pipelines PostgreSQL PySpark Python RDBMS Redshift Snowflake SQL Streaming

Region: Remote/Anywhere

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