Vidpro Consultancy Services

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

Project Engineer with water treatment plant experience.

SWT, ETP Aand WTP.

Atleast 1+ years of experience in WTP.

Experience: 5-8 Years

Work Mode: Remote

Job Type: Fulltime

Mandatory Skills: Python,SQL, Snowflake, Airflow, ETL, Data Pipelines, Elastic Search, & AWS.

Role Overview:

We are looking for a talented and passionate Senior Data Engineer to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization. You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.
• Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
• Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS.
• Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.
• Implement data quality checks and monitoring to ensure data integrity and identify potential issues.
• Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.
• Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering.
• Contribute to the development and enhancement of our data warehouse architecture

Required Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
• At least 3+ years of exp in Snowflake data warehousing technologies.
• At least 3+ years of exp in creating and maintaining Airflow ETL pipelines.
• Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.
• Working experience with Elastic Search and its application in data pipelines.
• Proficiency in SQL and experience with data modelling techniques.
• Strong understanding of cloud-based data storage solutions such as AWS S3.
• Experience working with NFS and other file storage systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.