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Senior AWS Data Engineer
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- Posted a month ago
- Over 100 applicants have applied
Job Description
We are seeking a highly skilled Data Engineer with 5-7 years of experience to develop, sustain, troubleshoot, and monitor data pipelines. The ideal candidate should be proficient in Python and SQL, with expertise in databases including Redshift, Aurora, and MySQL. This role requires a strong analytical mindset, problem-solving skills, and the ability to work collaboratively in a dynamic environment.
Key Responsibilities:
- Develop, optimize, and maintain data pipelines to ensure smooth data flow.
- Troubleshoot and resolve issues related to data pipelines and database performance.
- Monitor data systems to ensure reliability, accuracy, and efficiency.
- Collaborate with cross-functional teams to enhance data-driven decision-making.
Technical Skills Required:
- Programming: Proficient in Python and SQL
- Databases: Strong knowledge of Redshift, Aurora and MySQL
- Data Engineering: Experience in building and maintaining scalable data solutions
More Info
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Key Skills
About Company
Skills:
Golang, PostgreSQL, Prometheus, Kafka, Datadog, Docker, Python, Aws Lambda, Dynamodb, Rabbitmq, MS SQL, Restful Apis
Skills:
Sql, Postgres, Oracle, Python, Linux, AWS
Skills:
Spark SQL, S3, Pyspark, Scala, Apache Spark, Emr, Redshift, Apache Airflow, Lambda, Hive, Hadoop Ecosystem, Cloudwatch, AWS, Step Functions, DAG design and optimization, HDFS, Workflow orchestration, Glue, Athena
Skills:
Etl, Sql, ELT, Python, Pyspark, ACID-compliant data ingestion
Skills:
Data Migration, Emr, Dynamodb, Lambda, RDS, Cloud Formation, Etl, Iam, S3, SQL Server, Apache Airflow, Postgres, Pyspark, AWS, Sns, Python, Ec2, Redshift, Code Pipeline, AWS DataSync, Step Function, APIGateway, Glue, Athena, AWS DMS, Aurora