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Job Description & How to Apply Below
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 : Snowflake Data Warehouse, Py Spark
Good to have skills : AWS Big Data
Minimum 7.5 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 comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs.
Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily activities.
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 requirements.
Mentor junior team members to enhance their technical skills and understanding of data engineering best practices.
Coordinate with stakeholders to gather requirements and translate them into technical specifications.
Continuously evaluate and improve data processes to optimize performance and reliability.
Professional & Technical
Skills:
Must To Have
Skills:
Proficiency in Snowflake Data Warehouse, PySpark.
Good To Have
Skills:
Experience with AWS Big Data.
Strong knowledge of data pipeline development and orchestration techniques.
Experience in managing and optimizing large-scale data storage and retrieval systems.
Familiarity with data integration, transformation, and cleansing methodologies.
Ability to troubleshoot and resolve complex data issues efficiently.
Additional Information:
The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.
This position is based at our Pune office.
A 15 years full time education is required.
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