AWS Data Engineer

Qode
Full-time
On-site
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.