:As a Tech Manager – Data Engineer with AWS experience, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives.Key Responsibilities: * Data Integration: Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into AWS data stores for both batch and streaming data ingestion. * AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. * Data Modeling: Design and implement data models to support analytical and reporting needs, ensuring data accuracy and performance. * Data Quality: Implement data quality and data governance best practices to maintain data integrity. * Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and storage solutions to ensure optimal performance. * Documentation: Create and maintain comprehensive documentation for data pipelines, architecture, and best practices. * Collaboration: Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and deliver high-quality data solutions. * Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions.Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python,Good to have: Cloudera – Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake ErwinQualifications: * Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. * 5 to 8 years of experience in data engineering, including working with AWS services. * Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. * Knowledge on Cloudera based hadoop is a plus. * Strong ETL development skills and experience with data integration tools. * Knowledge of data modeling, data warehousing, and data transformation techniques. * Familiarity with data quality and data governance principles. * Strong problem-solving and troubleshooting skills. * Excellent communication and teamwork skills, with the ability to collaborate with technical and non-technical stakeholders. * Knowledge of best practices in data engineering, scalability, and performance optimization. * Experience with version control systems and DevOps practices is a plus