Saras Analytics - Lead Data Engineer - BigQuery / Snowflake DB

About Saras Analytics :

We are an ecommerce focused end to end data analytics firm assisting enterprises & brands in data driven decision making to maximize business value.

Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services.

Our flagship product is Daton, an ETL tool.

We have now ventured into building exciting ease of use data visualization solutions on top of Daton.

And lastly, we have a world class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value.

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 us.

The 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 solutions.

Responsibilities :

Data Pipeline Architecture :

• Lead the design and architecture of scalable and efficient data pipelines, ensuring optimal performance and reliability.

Programming and Scripting :

Cloud Platform Expertise :

BigQuery / Snowflake Knowledge :

ETL Processes :

Data Modeling and Optimization :

Collaboration and Leadership :

Quality Assurance :

Documentation :

Technical Skills :

Soft Skills :

Educational Qualifications :

Experience :

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