Data Engineer

Role Overview : Experience : 6+years

As a Data Engineer, you will play a key role in designing, developing, and optimizing data pipelines and storage solutions in a complex, enterprise-scale data warehouse environment. You will contribute to full life-cycle software development projects, leveraging modern technologies and best practices to deliver high-quality, actionable data solutions.

Key Responsibilities :

• Participate in the full software development lifecycle for enterprise data projects, from requirements gathering to deployment and support.
• Design, develop, and maintain robust ETL processes and data pipelines using Snowflake, Hadoop, Databricks, and other modern data platforms.
• Work with a variety of databases : SQL (MySQL, Postgres SQL, Vertica), NoSQL (MongoDB, Cassandra, Azure Cosmos DB), and distributed / big data solutions (Apache Spark, Cloudera).
• Write advanced SQL queries and perform complex data analysis for business insights and operational reporting.
• Develop scripts in Python and shell for data manipulation, automation, and orchestration.
• Perform data modelling, analysis, and preparation to support business intelligence and analytics solutions.
• Maintain and optimize Unix / Linux file systems and shell scripts.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Present analytical results and recommendations to technical and non-technical stakeholders, supporting data-driven decision making.
• Troubleshoot, diagnose, and resolve complex technical issues across the data stack.
• Stay current with industry trends, tools, and best practices to continuously improve data engineering processes.

Required Skills and Qualifications :

Preferred / Desirable Skills :