Senior Data Engineer

Posted 2 Days Ago
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Ahmedabad, Gujarat, IND
In-Office
Senior level
eCommerce • Enterprise Web • Marketing Tech • Software • Generative AI
catalyzing the digital transformation of businesses by providing tailor-made digital solutions.
The Role
Design and maintain scalable batch and real-time data pipelines, ETL/ELT workflows, and cloud-native data platforms. Build data lake, warehouse, and lakehouse architectures; implement quality, monitoring, security, and governance standards; and optimize performance and costs. Collaborate with stakeholders, analytics, BI, and AI teams to deliver trusted datasets. Participate in architecture reviews, code reviews, sprint planning, mentoring, documentation, tool evaluation, and proof-of-concept initiatives.
Summary Generated by Built In
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.


RequirementsMust 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.



Skills Required

  • 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
  • Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer - Associate, Microsoft Certified Azure Data Engineer Associate DP-203, or Google Professional Data Engineer certification
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The Company
HQ: Birmingham, AL
75 Employees
Year Founded: 2014

What We Do

As a leading web development agency, we take utmost pride in keeping up with the newest industry trends and technologies. We craft user-centric designs that are both intuitive and engaging, transforming complex concepts into accessible solutions – where form meets function with a smile. Offering comprehensive web audit services to assess design, development, performance, security, and usability, followed by ongoing maintenance to ensure optimal operation and up-to-date features.

Why Work With Us

At Creole Studios, we blend innovation with creativity to deliver exceptional web and app solutions. Our diverse team thrives in a collaborative environment where every idea is valued. We push boundaries, prioritize growth, and strive for excellence, making us a unique place to work and grow.

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