Lead Data Architect

1 week ago

Hyderabad, Telangana, India Saras Analytics Full time

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 BigQuery/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:
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:
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 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:
Strong leadership and mentoring capabilities.

Excellent communication and presentation skills.

  • Strategic thinking and problemsolving abilities.
  • Ability to work collaboratively in a crossfunctional team environment.

Educational Qualifications:

  • Bachelor's or Master's 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.


If you are an experienced Lead Data Engineer with a strong programming background, cloud expertise, and specific knowledge of BigQuery/Snowflake, we encourage you to apply.

Please submit your resume and a cover letter highlighting your technical skills, leadership experience, and contributions to data engineering projects.

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