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 us.

The Role :

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 :

- Utilize strong programming skills, particularly in languages like Python, for developing robust and maintainable data engineering solutions.

Cloud 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 environment.

BigQuery/Snowflake Knowledge :

- Demonstrate deep understanding and hands-on experience with BigQuery/Snowflake for efficient data storage, processing, and analysis.

ETL Processes :

- Lead the development of Extract, Transform, Load (ETL) processes, ensuring seamless integration of data from various sources into the data warehouse.

Data Modeling and Optimization :

- Design and implement effective data models to support ETL processes and ensure data integrity and efficiency.

Collaboration and Leadership :

- Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver effective data solutions.

Quality Assurance :

- Implement comprehensive data quality checks and validation processes to ensure the accuracy and completeness of data.

Documentation :

- Create and maintain detailed documentation for data engineering processes, data models, and cloud configurations.

Technical Skills :

- Programming Languages : Expertise in programming languages, with a strong emphasis on Python.

- Cloud Platforms : Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud.

- Big Data Technologies : Proficiency in big data technologies and frameworks for distributed computing.

- Data Warehousing : In-depth knowledge of modern data warehousing solutions, with specific expertise in BigQuery/Snowflake.

- 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 loading.

- Collaboration Tools : Experience using collaboration and project management tools for effective communication and project tracking.

Soft Skills :

- Excellent communication and presentation skills.

- Strategic thinking and problem-solving abilities.

- Ability to work collaboratively in a cross-functional team environment.

Educational Qualifications :

- Bachelors or Masters degree in Computer Science Data Engineering, or a related field.

Experience :

- 8+ years of experience in data engineering roles with a focus on programming, cloud platforms, and data warehousing.