Data Engineering Team Lead

2 weeks ago


Hyderabad, Telangana, India Saras Analytics Full time

About Saras Analytics:

We are a data analytics firm specializing in e-commerce solutions for enterprises and brands. Our services include data extraction, transformation, visualization, and analysis using industry-leading products and solutions. We have developed an ETL tool called Daton and are now building user-friendly data visualization solutions on top of it. Our team of experts understands the story behind the numbers and effectively communicates this to our clients.

Our Current Status:

We are a profitable and fast-growing startup with a strong value system. We operate in the intersection of data analytics and e-commerce, which are both rapidly growing industries. The current economic climate has created opportunities for us as companies downsize and outsource operations. We prioritize talent development and encourage innovation among our employees. Our goal is to make Saras Analytics a career destination for talented professionals.

The Role:

We are seeking a skilled Lead Data Engineer with experience in programming, cloud platforms, and modern data warehousing solutions. As a key leader in our data engineering team, you will design, implement, and optimize data pipelines using your expertise in these areas.

Data Pipeline Architecture:

  • • Design scalable and efficient data pipelines that ensure 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

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


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