Data Engineer (Bengaluru)

Data Engineer (Bengaluru)

12 Aug
|
Retail Insights
|
Bengaluru

12 Aug

Retail Insights

Bengaluru

About

Retail Insights delivers scalable, cutting-edge, and cost-effective IT solutions through centers in India, Dubai, and the U.S. We specialize in Full Stack Development, Data & AI/ML, Mobile, DevOps, and digital platforms like Adobe, Salesforce, Shopify, Snowflake, and Blue Yonder.

Responsibilities

Design, develop, and maintain robust data pipelines using Azure technologies.
Ingest, transform, and structure data from various structured and unstructured sources.
Implement and manage scalable data solutions using Azure Data Lake, Azure Data Factory, Azure Synapse, and Databricks.
Ensure data quality, security, and compliance across all data solutions.
Collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making.
Optimize performance of data workloads and troubleshoot bottlenecks.
Participate in code reviews, documentation, and continuous improvement of data engineering best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering roles.




Expertise in Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, and Databricks.
Strong experience in SQL, PySpark, and Python.
Proficiency in building and managing data pipelines in cloud environments.
Familiarity with Delta Lake, Parquet, and modern data Lakehouse architectures.
Solid understanding of data modeling, data warehousing, and ETL/ELT frameworks.
Experience with version control tools like Git and CI/CD pipelines for data.

Education Qualification

Bachelor's degree in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering roles.
Expertise in Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, and Databricks.
Strong experience in SQL, PySpark, and Python.
Proficiency in building and managing data pipelines in cloud environments.
Familiarity with Delta Lake, Parquet, and modern data Lakehouse architectures.
Solid understanding of data m

📌 Data Engineer (Bengaluru)
🏢 Retail Insights
📍 Bengaluru

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