Saras Analytics - Lead Data Engineer - Snowflake DB / Data Warehousing

Where we are Today :

We are a boot strapped, profitable & fast growing (2x y-o-y) startup with old school value systems.

We play in a very exciting space which is intersection of data analytics & ecommerce both of which are game changers.

Today, the global economy faces headwinds forcing companies to downsize, outsource & offshore creating strong tail winds for us.

We are an employee first company valuing talent & encouraging talent and live by those values at all stages of our work without comprising on the value we create for our customers. We strive to make Saras a career and not a job for talented folks who have chosen to work with Role :

We are seeking an accomplished Lead Data Engineer with strong programming skills, cloud expertise, and in-depth knowledge of Big Query / Snowflake data warehousing technologies.

As a key leader in our data engineering team, you will play a critical role in designing, implementing, and optimizing data pipelines, leveraging your expertise in programming, cloud platforms, and modern data warehousing : Pipeline Architecture :

• Lead the design and architecture of scalable and efficient data pipelines, ensuring optimal performance and and Scripting :
• Utilize strong programming skills, particularly in languages like Python, for developing robust and maintainable data engineering Platform Expertise :
• Apply extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) to design, deploy, and optimize data engineering solutions in a cloud Knowledge :
• Demonstrate deep understanding and hands-on experience with BigQuery / Snowflake for efficient data storage, processing, and Processes :
• Lead the development of Extract, Transform, Load (ETL) processes, ensuring seamless integration of data from various sources into the data Modeling and Optimization :
• Design and implement effective data models to support ETL processes and ensure data integrity and and Leadership :
• Collaborate with cross-functional teams, providing technical leadership and guidance to junior data engineers.
• Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver effective data Assurance :
• Implement comprehensive data quality checks and validation processes to ensure the accuracy and completeness of :
• Create and maintain detailed documentation for data engineering processes, data models, and cloud Skills : Programming Languages : Expertise in programming languages, with a strong emphasis on Cloud Platforms : Extensive experience with cloud platforms such as AWS, Azure, or Google Big Data Technologies : Proficiency in big data technologies and frameworks for distributed Data Warehousing : In-depth knowledge of modern data warehousing solutions, with specific expertise in ETL Tools : Experience with ETL tools like Apache NiFi, Talend, or similar.
• SQL : Strong proficiency in writing and optimizing SQL queries for data extraction, transformation, and Collaboration Tools : Experience using collaboration and project management tools for effective communication and project Skills :
• Strong leadership and mentoring capabilities.
• Excellent communication and presentation skills.
• Strategic thinking and problem-solving abilities.
• Ability to work collaboratively in a cross-functional team Qualifications :
• Bachelors or Masters degree in Computer Science Data Engineering, or a related :
• 8+ years of experience in data engineering roles with a focus on programming, cloud platforms, and data warehousing.

(ref : hirist.tech)