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 : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle.
Your role includes implementing extract, transform, and load processes to enable seamless migration and deployment of data across various systems, collaborating with different teams to align data strategies with organizational goals, and continuously optimizing data workflows to support business needs effectively.
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 evolving business requirements.
- Mentor junior team members to enhance their technical skills and promote knowledge sharing.
- Coordinate with stakeholders to gather requirements and translate them into technical specifications.
- Monitor and troubleshoot data pipeline performance to ensure reliability and efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Experience in building and managing data pipelines using contemporary data engineering tools and frameworks.
- Strong knowledge of data integration techniques and ETL process design.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to optimize data workflows for performance and scalability.
- Understanding of data governance and data quality best practices.
Additional Information
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
📌 Data Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.