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Data Engineer – AWS (Redshift, Spectrum, Athena, Glue, EMR, Kinesis, Lambda)

  • Source: LinkedIn
  • Zorba AI
  • $11,505.86 to $18,827.76 /yr
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

We are looking for a skilled Data Engineer with 4+ years of experience in designing, developing, and maintaining scalable data pipelines using AWS data services. The ideal candidate should have hands-on expertise in Amazon Redshift, Redshift Spectrum, Athena, AWS Glue, EMR, Kinesis, Lambda , and JSON data processing. The role involves building efficient ETL/ELT solutions, optimizing data warehouses, and enabling analytics through cloud-native data platforms.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
  • Develop and optimize data warehouse solutions using Amazon Redshift and Redshift Spectrum.
  • Build serverless data processing workflows using AWS Lambda and Glue.
  • Process and transform structured and semi-structured (JSON) data.
  • Use Amazon Athena for interactive querying and analytics on data stored in Amazon S3.
  • Develop real-time data ingestion pipelines using Amazon Kinesis.
  • Work with Amazon EMR for large-scale data processing using Spark/Hadoop.
  • Monitor, troubleshoot, and optimize data pipeline performance.
  • Collaborate with data analysts, architects, and business teams to deliver high-quality data solutions.
  • Ensure data quality, security, and governance best practices.

Required Skills

  • 4+ years of experience in Data Engineering.
  • Strong expertise in Amazon Redshift and Redshift Spectrum.
  • Hands-on experience with AWS Glue, Athena, EMR, Kinesis, and Lambda.
  • Strong SQL programming skills.
  • Experience working with JSON and semi-structured data.
  • Knowledge of ETL/ELT concepts and data warehousing.
  • Experience with Amazon S3 and AWS IAM.
  • Understanding of performance tuning and query optimization.
  • Familiarity with Git and Agile methodologies.

Good to Have

  • Experience with Python or PySpark.
  • Knowledge of Apache Spark/Hadoop ecosystem.
  • Exposure to CI/CD pipelines.
  • AWS Certification is an added advantage.

Education

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.

Mandatory Skills

  • Amazon Redshift
  • Redshift Spectrum
  • AWS Athena
  • AWS Glue
  • Amazon EMR
  • Amazon Kinesis
  • AWS Lambda
  • SQL
  • JSON
  • Amazon S3

Skills: kinesis,spectrum,athena,glue,lambda,amazon redshift

Skills

  • amazon-web-services
  • amazon-redshift
  • amazon-athena
  • aws-glue
  • amazon-emr
  • amazon-kinesis
  • aws-lambda
  • amazon-redshift-spectrum
  • JSON
  • serverless
  • amazon-s3
  • Spark
  • Hadoop
  • apache-hadoop
  • aws-iam
  • Python
  • pyspark
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