Senior Data Engineer

1 week ago


Mumbai, Maharashtra, India Ampcus Tech Full time

Job Description : We are looking for a Data Engineer to join our team with growing requirement of data & analytics. The hire will be responsible for building and optimizing our data storage and pipeline architecture to provide a strong base for our Sales Platform, Data Consumers, and Data Analysts/Scientists on a vast range of projects. The ideal candidate is an experienced software developer who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple systems / projects. The candidate will contribute to our division's data strategy and implementation of analytics & data-science platform to support our next generation of data & analytics initiatives. Responsibilities : - Build and optimize data pipeline to consume data from various source, transform & model it, and then distribute it to multiple consumers. - Identify, design, and implement improvements / automations for optimizing data processing, storage, and availability, while maintaining scalability, etc. - Create / maintain data access tools for analytics / data scientist team members allowing them to consume data efficiently & continuously. - Build and support analytics tools that utilize the data pipeline to provide actionable insights into data trends and other key business metrics. - Manage our data storage and processing systems across on-premises and cloud. - Develop and support data pipeline orchestration, and analytics & machine learning projects. - Support migration of the data platform from on-premises to cloud infrastructure. - Work with various stakeholders including the Senior Management, Technology and Client teams to assist with data & analytics related projects and issues. Qualification : - We are looking for a candidate with 7 years of experience in a Data Engineer role, who has attained a bachelor's or master's degree in computer science, information technology/systems or another relevant technical field. - Advanced working knowledge and experience with data modelling, data warehousing concepts, database design principles, query authoring (SQL) and performance optimization. - A successful history of manipulating, processing, and extracting value from large, disconnected datasets. - Knowledge of data integration, migration, and synchronization techniques in distributed environments. - Hands-on programming experience with Python, Java, or C#. - Excellent problem-solving and analytical skills with attention to details. - Strong project management and organizational skills. - Experience supporting and working with cross-functional teams in a dynamic environment. - Excellent communication and collaboration skills. Skillset and Experience : - Experience with Relational database systems like Sybase, SQL Server, Postgres, etc. - Experience with object-oriented or function scripting languages : Python (NumPy, Pandas), Java, C++, or Scala, etc. - Experience with Cloud technologies like Microsoft Azure, Databricks, Snowflake, etc. - Experience with data-science tools / workbench like Dataiku, Jupyter, Rapid Miner, etc. is a plus. - Experience with Big Data tools / technologies : Hadoop, Pig, Hive, Hue, PySpark etc. is a plus. - Experience with ETL tools like Azure Data Factory, Informatica, etc. is a plus. - Working knowledge of integrating visualization tools like Tableau, QlikView, Power BI etc. is a major plus. - Experience with machine learning / artificial intelligence techniques like regression, classification, clustering, time series, text mining, large language model, etc. is a plus. (ref:hirist.tech)



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