| AWS SENIOR TECH LEAD DATA ENGINEER ( REMOTE) at Remote, Remote, USA |
| Email: [email protected] |
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AWS SENIOR TECH LEAD DATA ENGINEER ( REMOTE) Dont need architects or Big Data engineers. We Need AWS Lead Data engineer who can do hands-on coding on these tools python, pandas, pyspark, Terraform, AWS Glue, Lambda, S3, Redshift, EMR. Candidates should have most, if not all, of these critical skills. About the Role: We are seeking an experienced AWS Data Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience in data engineering with a strong focus on AWS technologies. This role involves designing, developing, and maintaining scalable data pipelines and processing systems. The candidate should be adept at managing and optimizing data architectures and be passionate about data-driven solutions. Knowledge of machine learning is a plus. Key Responsibilities: Design and implement scalable data pipelines using AWS services such as Glue, Redshift, S3, Lambda, EMR, Athena Develop and maintain ELT processes to transform and integrate data from various sources. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and tune performance of data pipelines and queries. Ensure data quality and integrity through robust testing and validation processes. Implement data security and compliance best practices. Monitor and troubleshoot data pipeline issues and ensure timely resolution. Stay updated with the latest developments in AWS data engineering technologies and best practices. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering with a focus on AWS technologies. Expertise in AWS services such as Glue, Redshift, S3, Lambda, EMR, Athena, Strong programming skills in Python, Pandas, SQL Experience with database systems such as AWS RDS, Postgres and SAP HANA. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with CI/CD pipelines and version control systems (e.g., Git). Experience writing infrastructure as code using Terraform. Familiarity with Glue Notebooks, Sagemaker Notebooks, Textract, Rekognition, Bedrock, and any GenAI/LLM tools Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Nice to Have: AWS Certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect). Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of AWS SageMaker and its integration within data pipelines. Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka. Experience with data visualization tools like Tableau, Power BI, or AWS QuickSight. Familiarity with Azure DevOps and Azure Pipelines. Familiarity with Data Catalog and Governance tools such as AWS DQ, Collibra, and profiling tools such as AWS Databrew Thank you, Anil Account Manager || Agile Squad Inc . Phone : (609) 250-0141 Site : www.agilesquadinc.com : [email protected] Gmail : [email protected] CONFIDENTIALITY NOTICE : The information contained in this communication from Agile Squad Inc is privileged and confidential and is intended for the sole use of the persons or entities who are the addressees. If you are not an intended recipient of this email, the dissemination, distribution, copying or use of the information it contains is strictly prohibited. If you have received this communication in error, please immediately contact the sender. -- Keywords: continuous integration continuous deployment business intelligence sthree information technology AWS SENIOR TECH LEAD DATA ENGINEER ( REMOTE) [email protected] |
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| 09:34 PM 24-Jan-25 |