<p><p><b>Role Overview :</b><br/><br/>We are seeking a highly skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions.
<br/><br/>The ideal candidate should have hands-on expertise in AWS cloud services, data lake/warehouse, ETL/ELT pipelines, and big data frameworks to support analytics and business insights.<br/><br/><b>What you do : </b><br/><br/>- Design, build, and optimize data pipelines for structured/unstructured data.<br/><br/></p><p>- Develop and manage ETL/ELT workflows using AWS services (Glue, Lambda, EMR, Kinesis).<br/><br/></p><p>- Work with data storage solutions such as S3, Redshift, DynamoDB, RDS.<br/><br/></p><p>- Implement streaming & batch data processing with Spark, Kinesis, Kafka.<br/><br/></p><p>- Ensure data quality, governance, and security standards across systems.<br/><br/></p><p>- Collaborate with Data Scientists, Analysts, and stakeholders to enable self-service analytics and ML pipelines.<br/><br/></p><p>- Monitor, troubleshoot, and improve pipeline performance.<br/><br/></p><p>- Apply CI/CD and Infrastructure as Code practices for deployment (Terraform, CloudFormation, Jenkins).<br/><br/><b>What we expect : </b><br/><br/>- Strong programming in Python, PySpark, or Scala.<br/><br/></p><p>- <b>Hands on experience with SageMaker</b><br/><br/></p><p>Hands-on experience with AWS services : <br/><br/></p><p>- <b>Compute & Storage : </b> S3, EC2, Lambda, EMR<br/><br/></p><p>- <b>Data Integration : </b> Glue, Kinesis, Step Functions<br/><br/></p><p>- <b>Databases/Warehousing : </b> Redshift, RDS, DynamoDB<br/><br/></p><p>- Knowledge of data modeling, schema design, data lakes, and data warehouses.<br/><br/></p><p>- Experience with big data frameworks (Spark, Hadoop, Kafka).<br/><br/></p><p>- Proficiency in SQL & database optimization.<br/><br/></p><p>- Knowledge of CI/CD pipelines, Git, DevOps practices.<br/><br/><b>Good to Have :</b><br/><br/>- Familiarity Databricks, or ML pipelines.<br/><br/>- Exposure to BI tools (QuickSight, Tableau, Power BI).<br/><br/>- Containerization & orchestration (Docker, Kubernetes, EKS).</p><br/></p> (ref:hirist.tech)