Job Description

Techwave , we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do. Join us! Who are we Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT). Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth. Plus, we\'re a team of dreamers and doers who are pushing the boundaries of what\'s possible. And we want YOU to be a part of it. Role : AWS Data Integration Developer Experience : 5+ Yrs Location : Hyderabad Mode of Employement : Permanent As an AWS Junior Data Integration Developer, you will be responsible for implementing, and maintaining our data pipelines, database objects, and implementing data warehousing solutions. You will collaborate closely with Data Architects, Senior Developers to ensure efficient data extraction, transformation, loading (ETL. Your expertise in AWS, SQL, Python, and RedShift will be crucial in developing our data ecosystem and enabling data-driven decision-making. Key Responsibilities: Design, develop, and maintain robust and scalable data pipelines using Python Scripts. Implement ETL processes to extract, transform, and load data from various sources into our data warehouse (Amazon RedShift). Collaborate with Subject Matter Experts, data analysts, and business stakeholders to understand data requirements and ensure data accuracy and integrity. Build and maintain data models and schemas for efficient data storage and retrieval. Monitor and troubleshoot data pipelines and ETL processes to ensure smooth data flow and minimal downtime. Utilize Python programming for scripting, automation, and data manipulation tasks. Stay updated with the latest AWS services, data engineering best practices, and emerging technologies. Qualifications: 5+ years of commercial experience in similar role Bachelor\'s degree in Computer Science, Engineering, or related field. Proven experience as a Data Engineer, with a strong focus on AWS technologies. Proficiency in SQL for data querying, manipulation, and optimization. Hands-on experience with Amazon RedShift or similar data warehousing solutions. Strong programming skills in Python for scripting and automation. Familiarity with data modeling and schema design principles. Understanding of data integration, ETL processes, and data quality management. Excellent problem-solving skills and ability to work collaboratively in a team environment. Good to have AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Hands On with AWS managed Apache Airflow / Apache Airflow. Good to have experience with T-SQL. Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment.

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