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AWS Data Engineer

AWS Data Engineer

Qode

0 years

5 - 9 Lacs

Haryāna

Posted:20 hours ago| Platform: GlassDoor logo

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Skills Required

aws data support monitoring etl sql informatica server troubleshooting design redshift processing resolve pipeline migration integration security governance compliance storage management documentation architecture engineering python pyspark numpy automation orchestration communication diversity

Work Mode

On-site

Job Type

Part Time

Job Description

Role Description:
We are seeking a skilled professional to maintain and support batch jobs in a legacy environment. The role involves managing and monitoring ETL processes, addressing issues, and enhancing existing PL/SQL scripts. The ideal candidate will have strong expertise in Informatica, SQL Server, and data warehousing concepts, along with experience in troubleshooting and improving batch job performance.Key Responsibilities:

Design and implement robust ETL pipelines using AWS Glue, Lambda, Redshift and S3.· Monitor and optimize the performance of data workflows and batch processing jobs.· Troubleshoot and resolve issues related to data pipeline failures, inconsistencies, and performance bottlenecks.· Collaborate with cross-functional teams to define data requirements and ensure data quality and accuracy.· Develop and maintain automated solutions for data transformation, migration, and integration tasks.· Implement best practices for data security, data governance, and compliance within AWS environments.· Continuously improve and optimize AWS Glue jobs, Lambda functions, and S3 storage management.· Maintain comprehensive documentation for data pipeline architecture, job schedules, and issue resolution processes. Required Skills and Experience:
Strong experience with Data Engineering practices.· Experience in AWS services, particularly AWS Glue, Lambda, S3, and other AWS data tools.· Proficiency in SQL, python , Pyspark, numpy etc and experience in working with large-scale data sets.· Experience in designing and implementing ETL pipelines in cloud environments.· Expertise in troubleshooting and optimizing data processing workflows.· Familiarity with data warehousing concepts and cloud-native data architecture.· Knowledge of automation and orchestration tools in a cloud-based environment.· Strong problem-solving skills and the ability to debug and improve the performance of data jobs.· Excellent communication skills and the ability to work collaboratively with cross-functional teams.· Good to have knowledge of DBT & Snowflake

We are an Equal Opportunity Employer: We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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AWS Data Engineer