Senior Data Engineer
2 weeks ago
Responsibilities:
- Thrivein a fastpaced startup environment contributing to a culture ofinnovation and agility.
- Manage all aspects ofdata extraction transfer and loadactivities.
- Develop robust data pipelines toensure data availability acrossplatforms.
- Execute ETL processes including dataingestion cleaning and curation into data warehouses databases ordata platforms.
- Collaborate on various aspectsof the AI/ML ecosystem including data modeling and MLpipelines.
- Work closely with DevOps and seniorarchitects to design scalable system and model architectures forrealtime and batchservices.
Requirements:
- 36years of experience as a data engineer or data scientist with afocus on data engineering and ETLjobs.
- Proficiency in data warehousing datamodeling and/or data analysis concepts.
- Strongexperience in building and using pipelines performing ETL withindustrystandard best practices on Redshift (minimum 2years).
- Ability to troubleshoot and resolveperformance issues related to data ingestion processing and queryexecution on Redshift.
- Familiarity withorchestration tools such as Airflow.
- Excellentcoding skills in Python and SQL.
- Handsonexperience with distributed systems likeSpark.
- Experience with AWS Data and MLTechnologies (AWS Glue MWAA Data Pipeline EMR Athena RedshiftLambda etc.).
- Solid understanding and practicalapplication of various data extraction techniques like CDC orTime/batch based and related tools (Debezium AWS DMS Kafka Connectetc.) for near realtime and batch dataextraction.
Note: Preferencewill be given to candidates with experience in productbasedcompanies and ecommercecompanies.
dataengineering,etl,amazon redshift,python,sql,airflow,spark,glue,dataprocessing,data warehouse,data modeling,kafka,athena,awslambda,data cleaning,data curation
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