Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : PySpark
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining robust data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that enable smooth migration and deployment of data across various systems, collaborating with different teams to meet project goals and optimize data workflows.
Roles & Responsibilities:
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the design and implementation of scalable data architectures to support business needs.
Mentor junior team members to enhance their technical skills and project contributions.
Coordinate with stakeholders to understand data requirements and translate them into technical solutions.
Skilled & Technical Skills:
Must To Have Skills: Proficiency in PySpark.
Experience in building and optimizing data pipelines and workflows using PySpark.
Strong knowledge of data processing frameworks and distributed computing concepts.
Ability to work with large datasets and ensure data quality and consistency.
Familiarity with cloud-based data storage and processing platforms.
Competence in troubleshooting and resolving data-related issues efficiently.
Additi
📌 Data Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad
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