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3 days ago
We are seeking a highly skilled and experienced Data Engineer to join our team. In this role, you will be responsible for leading the development of big data solutions using Azure Databricks, Apache Spark, and Hadoop.
You will work closely with clients and team members to understand their requirements and develop architectures that meet their needs. You will also provide technical leadership and guidance to your team.
This is an exciting opportunity to work on a wide range of projects, from setting up data lakes on cloud platforms to implementing standardized data models and single views of customers.
You will develop data pipelines for new sources, data transformations within the data lake, and implement GraphQL APIs. You will also work on NoSQL databases, CI/CD tools, and data delivery as per business requirements.
Key Responsibilities:- Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
- Collaborate with cross-functional teams to source data and make it available for downstream consumption.
- Work with the team to provide an effective solution design to meet business needs.
- Excellent problem analysis skills.
- Good experience with Azure Databricks platform.
- Experience with at least one Cloud Infra provider (Azure/AWS).
- Experience in building data pipelines using batch processing with Apache Spark or Hive query language.
- Knowledge of NOSQL databases, Big data ETL processing tools, Data modelling and Data mapping.
- Experience with Hive and Hadoop file formats.
- Basic knowledge of scripting.
- Opportunity to work on a wide range of projects.
- Chance to develop skills and expertise in big data engineering.
- Collaborative and dynamic work environment.
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