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Saras Analytics - Lead Data Engineer - BigQuery / Snowflake DB

Saras Analytics - Lead Data Engineer - BigQuery / Snowflake DB

SARAS SOLUTIONS INDIA PRIVATE LIMITEDHyderabad
28 days ago
Job description

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 :

  • 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 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.
  • 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.
  • ref : hirist.tech)

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