AWS Data Engineer

Job Title: AWS Data Engineer

• Contract: (1yr Auto Extendable)
• Work Mode: Remote
• Experience: 3+ years
• CND-based location: Mumbai, Delhi, Chennai, Bangalore, or Pune (any one of the mentioned locations)

Job Summary:

We are seeking a highly skilled and experienced Data Engineer for AWS to join our team and play a crucial role in designing and implementing data analytics solutions on the Amazon Web Services (AWS) platform. The ideal candidate will have a deep understanding of data analytics technologies, AWS services, and a track record of architecting scalable and efficient data solutions to address complex business challenges.

Responsibilities:

• Design, build, and maintain scalable data pipelines on AWS using services such as Amazon S3, Glue, and EMR.
• Develop and optimize ETL processes to ingest data from various sources into our data lake and data warehouse.
• Collaborate with data scientists and analysts to understand data requirements and implement solutions for data transformation, aggregation, and analysis.
• Ensure data quality and integrity by implementing data validation and monitoring processes.
• Optimize performance of data infrastructure and pipelines for efficiency and cost-effectiveness.
• Implement security best practices to protect sensitive data and ensure compliance with regulations such as GDPR and HIPAA.
• Document design decisions, workflows, and operational procedures to maintain a knowledge base for the team.
• Stay up to date with the latest AWS technologies and industry trends to continuously improve our data infrastructure

Skills

• Proven experience (3+ years) as a Data Engineer, with a focus on AWS cloud technologies, and experience and knowledge on Microsoft Azure technology is a plus.
• Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc Strong understanding of data modeling, ETL processes, data warehousing, and data governance principles.
• Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
• Excellent problem-solving skills with the ability to design and implement creative solutions for complex data challenges.

Knowledge of data governance and compliance standards