Senior Data Engineer

Job Description

• *What you will do**

• *Data Engineering \& Platform Development**

• Design, develop, and maintain scalable batch and real\-time data pipelines.
• Build and optimize ETL/ELT workflows using modern data engineering frameworks.
• Develop and manage data lake, data warehouse, lake house architecture and snowflakes.
• Implement data quality checks, validation frameworks, and monitoring solutions.
• Optimize data processing jobs for performance, scalability, and cost efficiency.
• Collaborate with analytics, BI, and AI teams to deliver trusted datasets.

• *Cloud \& Infrastructure**

• Build and maintain cloud\-native data platforms on AWS, Azure, or GCP.
• Implement Infrastructure as Code (IaC) using Terraform or equivalent tools.
• Support CI/CD implementation for data engineering workloads.
• Ensure security, compliance, and governance standards across data platforms.

• *Collaboration \& Delivery**

• Work directly with stakeholders to understand business requirements and translate them into technical solutions.
• Participate in architecture discussions, design reviews, and sprint planning.
• Perform code reviews and mentor junior engineers.
• Contribute to technical documentation, standards, and reusable assets.

• *Innovation \& Practice Building**

• Evaluate and recommend modern data engineering tools and frameworks.
• Contribute to internal accelerators, reusable components, and best practices.
• Support proof\-of\-concepts and emerging technology initiatives in analytics, AI, and data platforms.

Requirements

• *Must have**

• 4 to 5 years of experience in Data Engineering.
• Strong expertise in Python, PySpark, and SQL.
• Hands\-on experience with Spark\-based data processing at production scale.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of Data Lakes, Data Warehouses, and Lakehouse architectures.
• Experience with orchestration tools such as Airflow, Azure Data Factory, or similar.
• Experience with data modeling, performance tuning, and pipeline optimization.
• Knowledge of CI/CD, Git, and DevOps practices.
• Strong communication and stakeholder management skills

• *Mandatory Certifications (Any One Required)**

• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• AWS Certified Data Engineer – Associate
• Microsoft Certified: Azure Data Engineer Associate (DP\-203\)
• Google Professional Data Engine

Benefits

• Opportunity to work on enterprise\-scale cloud and data engineering projects.
• Exposure to global clients and modern data platforms.
• Sponsorship for advanced cloud and data engineering certifications.
• Clear career progression toward Lead Data Engineer and Architect roles.
• Collaborative engineering culture focused on learning and innovation.
• Competitive compensation with performance\-based incentives.

Date Opened

06/05/2026

Job Type

Full time

Work Experience

4\-5 years

Industry

Computer

City

Ahmedabad

State/Province

Gujarat

Country

India

Zip/Postal Code

380015