Title: Data Engineer Location: Gurgaon, Pune and Bengaluru Exp: 3-10 yrs :
Bachelor's or master's degree in computer science, Engineering, or a related field.
Strong programming skills in languages such as Python, PySpark, SQL etc.
Experience in Build and optimize ETL workflows using tools/technologies such as Spark, Snowflake, Airflow and/or Azure Data factory, Glue, Redshift etc.
Craft and optimize complex SQL queries and stored procedures for data transformation, aggregation, and analysis.
Develop and maintain data models ensuring scalability and optimal performance.
Utilize Snowpark for data processing within the Snowflake platform.
Integrate Snowflake for efficient data storage and retrieval.
Exposure to API integrations to facilitate data workflows.
Experience in implementing CI-CD pipelines through DevOps platforms.
Good experience in cloud infrastructure such as Azure, AWS or GCP
Skills: Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in API development, Flask/Django is a bonus Responsibilities:
Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects.
Develop, implement, and deploy ETL solutions.
Preprocess and analyze large datasets to identify patterns, trends, and insights.
Evaluate, validate, and optimize data models to ensure efficiency, and generalizability.
Monitor and maintain the performance of data pipeline, data models in production environments, identifying opportunities for improvement and update as needed.
Document development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.
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