Job Title

JD: AWS Data Engineer Exp Range: 7 to 11 Years Location: Remote Shift Timings: 12 PM to 9 PM Primary Skills: Python, Pyspark, SQL, AWS JD Responsibilities Data Architecture: Develop and maintain the overall data architecture, ensuring scalability, performance, and data quality. AWS Data Services: Expertise in using AWS data services such as AWS Glue, S3, SNS, SES, Dynamo DB, Redshift, Cloud formation, Cloud watch, IAM, DMS, Event bridge scheduler etc. Data Warehousing: Design and implement data warehouses on AWS, leveraging AWS Redshift or other suitable options. Data Lakes: Build and manage data lakes on AWS using AWS S3 and other relevant services. Data Pipelines: Design and develop efficient data pipelines to extract, transform, and load data from various sources. Data Quality: Implement data quality frameworks and best practices to ensure data accuracy, completeness, and consistency. Cloud Optimization: Optimize data engineering solutions for performance, cost-efficiency, and scalability on the AWS cloud. Team Leadership: Mentor and guide data engineers, ensuring they adhere to best practices and meet project deadlines.Qualifications Bachelor’s degree in computer science, Engineering, or a related field. 6-7 years of experience in data engineering roles, with a focus on AWS cloud platforms. Strong understanding of data warehousing and data lake concepts. Proficiency in SQL and at least one programming language (Python/Pyspark).Good to have - Experience with any big data technologies like Hadoop, Spark, and Kafka. Knowledge of data modeling and data quality best practices. Excellent problem-solving, analytical, and communication skills. Ability to work independently and as part of a team.Preferred Qualifications Certifications in AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Data.If Intrested. Please submit your CV to Khushboo@ or share it via WhatsApp at 8827565832khuStay updated with our latest job opportunities and company news by following us on LinkedIn: :