Data Engineer

Company Description

Accolade is a full-service Knowledge Broadcasting and Media Production agency that creates high-quality content with a focus on education, inspiration, and entertainment.

The company is located in Kolkata.

Responsibilities

• Design, develop, and implement end-to-end data solutions, including data ingestion, curation, and visualization using Azure and AWS data pipelines.
• Utilize ADF, Databricks, and Pyspark coding for efficient data processing and transformation.
• Manage and curate multisource data in Azure Data Lake, ensuring data quality and accessibility.
• Implement and maintain DevOps architecture for seamless data pipeline deployment and management.
• Hands-on development and code deployment in Azure and AWS environments, ensuring optimal performance and reliability.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver scalable solutions.
• Implement and adhere to Agile development processes, participating in sprint planning, reviews, and retrospectives.
• Stay updated on industry best practices and emerging technologies, contributing to the continuous improvement of our data engineering capabilities.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5-6 years of proven experience in data engineering with a focus on data ingestion, curation, and visualization.
• Expertise in ADF, Databricks, and Pyspark coding for data processing.
• Strong experience in managing and curating multisource data in Azure Data Lake.
• Proficiency in DevOps architecture for data pipeline deployment and management.
• Hands-on experience in development and code deployment in Azure and AWS environments.
• Familiarity with Agile development processes and ability to work in a collaborative, fast-paced environment.
• Excellent problem-solving and communication skills.

If you are passionate about data engineering, possess the required skills, and are excited to contribute to a dynamic and forward-thinking organization, we encourage you to apply.

Join us in shaping the future of data-driven decision-making!