Job Title

HIGH PRIORITY - AWS DATA ENGINEER(BEDROCK)MANDATE Hi Team, Please support us AWS DATA ENGINEER( Transcribe, comprehend along with Bedrock) AWS Data Engineer Full time - hucon innovations client- Brillio locations-Hyderabad,Bangalore,chennai,pune np-immediate to 15days Job Summary: We are looking for a skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data infrastructure on Amazon Web Services (AWS). The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure high availability and performance of data solutions across the organization. Key Responsibilities: · Build/support applications using speech-to-text AWS services like Transcribe, comprehend along with Bedrock · Experience working with BI tools like QuickSight · Design, build, and manage scalable data pipelines using AWS services (e.g., Glue, Lambda, Step Functions, S3, EMR, Kinesis, Snowflake) · Optimize data storage and retrieval for large-scale datasets in data lakes or data warehouses · Monitor, debug, and optimize the performance of data jobs and workflows · Ensure data quality, consistency, and security across environments · Collaborate with analytics, engineering, and business teams to understand data needs · Automate infrastructure deployment using IaC tools like CloudFormation or Terraform · Apply best practices for cloud cost optimization, data governance, and DevOps · Stay current with AWS services and recommend improvements to data architecture · Understanding machine learning pipelines and MLOps (nice to have) Requirements & Qualifications: · Bachelor’s degree in computer science, or a related field · 8+ years of experience as a Data Engineer, with at least 3 years focused on AWS · Strong experience with AWS services including: o Transcribe , Bedrock o QuickSight Familiarity with Glue, S3, Snowflake, Lambda, Step Function, Kinesis, Athena, EC2/EMR , Power BI, or Tableau · Proficient in Python, PySpark, or Scala for data engineering tasks · Hands-on experience with SQL and data modeling · Familiarity with CI/CD pipelines and version control (e.g., Git, CodePipeline) · Experience with orchestration tools (e.g., Airflow, Step Functions) · Knowledge of data security, privacy, and compliance standards (GDPR, HIPAA, etc.) Good to have Skills: · AWS certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect) · Experience with containerization (Docker, ECS, EKS) · Experience working in Agile/Scrum environments