Data Engineer
Indexed description
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 : Apache Spark
Good to have skills : PySpark, Python (Programming Language), Google BigQuery
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating efficient data pipelines, ensuring the integrity and quality of data, and implementing ETL processes to seamlessly migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop align with organizational goals and standards.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Assist in the optimization of data processing workflows to enhance performance and efficiency.
- Collaborate with data scientists and analysts to understand their data needs and provide appropriate solutions.
- Must To Have Skills: Proficiency in Apache Spark.
- Good To Have Skills: Experience with Python (Programming Language), Google BigQuery, PySpark.
- Strong understanding of data modeling concepts and database design principles.
- Experience with cloud-based data storage solutions and data warehousing.
- Familiarity with data governance and data quality frameworks.
- The candidate should have minimum 3 years of experience in Apache Spark.
- This position is based at our Chennai office.
- A 15 years full time education is required.
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