Senior Big Data Specialist

2 days ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878
Job Title: Data Engineer

As a seasoned Data Engineer, you will play a pivotal role in designing, developing, and optimizing complex data solutions. Your expertise in Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies will be instrumental in driving business growth.

The ideal candidate will have a strong background in operations organizations, particularly in functions like supply chain, product life cycle management, and manufacturing. Experience with big data processing frameworks such as Apache Spark and cloud-based data platforms such as Snowflake is also essential.

In this role, you will lead the development of advanced data modeling, machine learning algorithms, and predictive analytics to derive actionable insights and drive operational decision-making. Additionally, you will collaborate closely with cross-functional teams to understand operational challenges and deliver tailored solutions.

Key Responsibilities:

  • Design, develop, and optimize complex data solutions using Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies.
  • Apply deep domain expertise in operations organizations to understand data requirements and deliver tailored solutions.
  • Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of operational data efficiently.
  • Implement advanced data modeling, machine learning algorithms, and predictive analytics to derive actionable insights and drive operational decision-making.
  • Leverage cloud-based data platforms such as Snowflake to store, manage, and analyze structured and semi-structured operational data at scale.
  • Monitor and optimize complex data pipelines, ETL processes, and machine learning models for performance, scalability, and reliability in operations contexts.

Required Skills and Qualifications:

  • Bachelors degree in Computer Science, Engineering, Operations Management, or related field. Advanced degree (e.g., Masters or PhD) preferred.
  • 10+ years of experience in data engineering, with proficiency in Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies.
  • Strong domain expertise in operations organizations, particularly in functions like supply chain, product life cycle management, and manufacturing.
  • Experience with big data processing frameworks such as Apache Spark and cloud-based data platforms such as Snowflake.
  • Hands-on experience with data modeling, ETL development, machine learning, and predictive analytics in operations contexts.


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