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ETL Developer

CSN Global IT SolutionsBangalore

30+ days ago

Job description

Job Description :

Role : Amazon ETL Developer / AWS Cloud ETL developer L5

Location : PAN India

Job Summary :

We are looking for 5+ experience Amazon ETL Developer responsible for designing, developing, and maintaining ETL (Extract, Transform, Load) processes to manage data pipelines in Amazon Web Services (AWS) .

Key Responsibilities and Technical Skills :

Technical Skills :

ETL Tools : Talend (Nice to have)
Database : Snowflake, Oracle, Amazon RDS (Aurora, Postgres) , DB2, SQL server and Casandra
Big Data and Amazon Services : Apache Sqoop, AWS S3, Hue, AWS CLI, Amazon EMR , Amazon MSK, Amazon Sagemaker, Apache Spark
Data Modeling Tools : Archimate (not mandated- secondary / preferred), Erwin , Oracle Data Modeler (secondary / preferred)
Scheduling Tools : Autosys, SFTP, AirFlow (preferred. This should not be an issue, any resource can learn how to use it)

Key Responsibilities :

Designing, building, and automating ETL processes using AWS services like Apache Sqoop, AWS S3, Hue, AWS CLI, Amazon EMR, Amazon MSK, Amazon Sagemaker Apache Spark.

Developing and maintaining data pipelines to move and transform data from diverse sources into data warehouses or data lakes.

Ensuring data quality and integrity through validation, cleansing, and monitoring ETL processes.

Optimizing ETL workflows for performance, scalability, and cost efficiency within the AWS environment.

Troubleshooting and resolving issues related to data processing and ETL workflows.

Implementing and maintaining security measures and compliance standards for data pipelines and infrastructure.

Documenting ETL processes, data mappings, and system architecture.

Implementing security measures such as IAM roles and access controls.

Diagnosing and resolving issues related to AWS services, infrastructure, and applications.

Proficiency in Big data tool and AWS services : Including Apache Sqoop, AWS S3, Hue, AWS CLI, Amazon EMR, Amazon MSK, Amazon Sagemaker, Apache Spark relevant to data storage and processing.

Strong SQL skills : For querying databases and manipulating data during the transformation process.

Programming and scripting proficiency : Primarily Python, for automating tasks, developing custom transformations, and interacting with AWS services via SDKs and APIs.

Data warehousing and modeling expertise : Understanding data warehousing concepts, dimensional modeling, and schema design to optimize data storage and retrieval.

Good to have Experience with ETL tools and technologies : Talend

Data quality management skills : Ensuring data accuracy, completeness, and consistency throughout the ETL process.

Familiarity with DevOps practices : Including CI / CD pipelines and infrastructure as code

Experience in Insurance domain

(ref : hirist.tech)

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Etl Developer • Bangalore

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