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Data Engineer
Job Description
Project Role : Data Engineer
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 : Amazon Athena, PySpark
Good to have skills : NA
Minimum 3 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 robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, alongside implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.
Roles & Responsibilities:
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 : Amazon Athena, PySpark
Good to have skills : NA
Minimum 3 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 robust data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, alongside implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.
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.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data pipelines to ensure high performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
- Must To Have Skills: Proficiency in Amazon Athena, PySpark.
- Strong experience in designing and managing data pipelines and workflows.
- Knowledge of data warehousing concepts and best practices.
- Ability to optimize queries and improve data retrieval performance.
- Familiarity with cloud-based data storage and processing platforms.
- Experience in troubleshooting and resolving data-related issues efficiently.
- The candidate should have minimum 3 years of experience in Amazon Athena.
- This position is based at our PDC3C - SEZ location.
- A 15 years full time education is required.
More Info
About Company
Skills:
Unix Shell Scripting, Cloudformation, Pyspark, Spark, Python, Sql, Service Catalog
Skills:
Pyspark, AWS Glue, automation, Scripting, data pipelines, data quality frameworks, cloud-based data processing, ETL workflows
Skills:
Git, Pyspark, Bamboo, JIRA, Python, Sql, Databricks DLT