Enterprise Data Warehouse

Immediate Joiners Only

4 - 15 Years of experienced candidates

Salary Range - 15 - 30 LPA with Perks including Joining Bonus, Insurance and more

About the Role

We are seeking a Mid-Senior Level Enterprise Data Warehouse (EDW) Engineer with a passion for building scalable, cloud-native data solutions. This role is ideal for someone who thrives in a collaborative environment, communicates effectively, and brings a problem-solving mindset to every challenge, not just someone who takes orders.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL/ELT processes for our enterprise data warehouse.
• Work with cloud-based data warehouse platforms (e.g., Snowflake, BigQuery, Redshift) to manage and optimize data storage and retrieval.
• Write efficient, maintainable, and well-documented SQL and Python code for data transformation and automation.
• Implement and maintain CI/CD pipelines for data workflows, ensuring smooth deployment and version control.
• Use orchestration tools (e.g., Apache Airflow, dbt Cloud, Prefect, etc.) to schedule and monitor data workflows.
• Perform deep data analysis between current state and future state systems, produce mapping documents.
• Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders to understand data needs and deliver actionable insights.
• Proactively identify data quality issues and performance bottlenecks, and implement solutions.
• Contribute to architectural decisions and best practices for data engineering and warehousing.

Required Qualifications

• Minimum 4 to 15 years of experience in data engineering or enterprise data warehouse development.
• Hands-on experience with cloud data warehouse platforms (e.g., Snowflake, BigQuery, Redshift).
• Strong proficiency in SQL and Python for data manipulation and automation.
• Solid understanding of CI/CD concepts and experience with tools like Git, Jenkins, or GitHub Actions.
• Experience with workflow orchestration tools such as Airflow, Prefect, or similar.
• Must be able to independently analyze large datasets and connect the dots with the business processes.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• A proactive, problem-solving mindsetsomeone who takes initiative and drives solutions.

Preferred Qualifications

• Experience with data modeling and data architecture principles.
• Familiarity with data governance, security, and compliance best practices.
• Experience working with modern data stack tools like dbt, Fivetran, or Looker.
• Experience working in large scale Enterprise Data Warehouse implementations.

Yotta Tech Ports (YTP) is a Multinational technology company delivering mission-critical software solutions and consulting services across the United States and India. With headquarters in Virginia and offices in North Carolina, Texas, and Hyderabad, we are trusted by clients worldwide for our unmatched expertise and ethical excellence

At YTP, we uphold the highest standards of professionalism, integrity, and innovation. Our reputation is built not just on what we deliver, but how we deliver it with honesty, respect, and an unwavering commitment to excellence.

Joining YTP means becoming part of an elite team of global professionals, where your contributions matter and your growth is limitless. This is more than a job its an opportunity to be part of a company that leads by example

Why YTP?  

• Growth-Oriented Culture : Work in a company that values integrity, continuous learning, and development.
• Dynamic Environment : Collaborate with innovative teams in a rapidly growing industry.
• Competitive Benefits : Comprehensive compensation, health insurance, retirement plans, and paid time off.
• Career Development : Access to initiatives that support both personal and professional growth.

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