Lead Engineer/Data Engineer

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