Data Solution Specialist – Sr. Data & MLOps Engineer
Job location
Hyderabad, Telangana, India
Type
Full Time
Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes using AWS and/or Azure cloud services.
Utilize Python and SQL/PLSQL programming languages for data cleaning, transformation, and deployment.
Implement standards for data ingestion, storage, and processing to support analytics and machine learning workflows.
Develop and optimize data integration solutions for on-premise systems, ensuring data quality, reliability, and performance.
Implemented and managed CI/CD pipelines for automated testing, deployment, and monitoring of machine learning models.
Collaborate with data scientists, machine learning engineers, and software developers to operationalize machine learning models.
Design and maintain infrastructure for automated deployment and scaling.
Ensure compliance with security, privacy, and data governance requirements.
Requirements & Skills:
Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience with at least 8 years of combined experience as a Data Engineer and MLOps Engineer or similar roles.
Strong programming skills in Python, SQL/PLSQL, and scripting languages for data transformation and automation.
Proficiency with AWS and/or Azure cloud platforms, including services such as EC2, S3, Lambda, SageMaker, Azure ML, etc.
Experience designing and optimizing data pipelines, ETL processes, and data warehouses.
Hands-on experience with CI/CD pipelines, version control systems (e.g., git), and code repositories.
Knowledge of containerization using Docker, Kubernetes, and orchestration tools.
Familiarity with big data technologies like Hadoop, and Spark and streaming platforms like Kafka, and Kinesis is a plus.
Familiarity with machine learning frameworks like TensorFlow, PySpark/PyTorch, and data science workflows is a plus.
