Etl Developer

2 weeks ago

Bengaluru Chennai Hyderabad, India Cloudxtreme Full time US$ 90,000 - US$ 1,20,000 per year

  • 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)

Note: (Yellow highlighted skills are mandatory) Non highlighted, even if they dont have, they should learn once after onboarded

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

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