Snowflake Developer

Inumellas Consultancy Services

Hyderabad, Pune District, Bengaluru

Hybrid

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Inumellas Consultancy Services in India is seeking a Lead Snowflake Data Engineer to design, implement, and manage data solutions using Snowflake, DBT, and Airflow across hybrid locations in Bengaluru, Hyderabad, and Pune.

You will mentor engineers, optimize ETL pipelines, and collaborate with stakeholders to deliver scalable data platforms. 6+ years in data engineering with Snowflake is preferred; strong DBT, Airflow, Python skills are essential.

Qualifications

  • 6+ years of experience in data engineering or a related field, with a focus on Snowflake.
  • Strong expertise in DBT and Airflow; Python programming is essential.

Responsibilities

  • Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
  • Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Perform data analysis and troubleshooting to ensure data integrity and reliability.
  • Mentor and guide junior engineers, supporting their growth within the team.
  • Stay current with industry trends and best practices in data engineering and cloud technologies.

Skills

Snowflake
SQL
Python

Tools

DBT
Airflow

Job description

Role: Lead Snowflake Data Engineer

Work Locations: Bangalore, Hyderabad, Pune (Hybrid)
Experience: 8-15 years

Mandatory Skills - Snowflake, DBT (Data Build Tool), SQL, Python, Airflow

Nice to have - Any ERP tool

We are seeking a highly skilled and motivated Lead Snowflake Data Engineer to join our dynamic team. In this role, you will be responsible for designing, implementing, and managing data solutions using Snowflake, DBT, and Airflow. You will play a critical role in driving our data engineering initiatives, ensuring data quality, performance, and scalability.

Key Responsibilities:
  • Lead the development and implementation of data pipelines and data models using Snowflake and DBT.
  • Design and optimize ETL workflows using Apache Airflow to ensure efficient data processing.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Perform data analysis and troubleshooting to ensure data integrity and reliability.
  • Mentor and guide junior engineers, supporting their growth and development within the team.
  • Stay current with industry trends and best practices related to data engineering and cloud technologies.
Qualifications:
  • 6+ years of experience in data engineering or a related field, with a focus on Snowflake.
  • Strong expertise in DBT, Airflow, and Python programming.
  • Solid understanding of data warehousing concepts and best practices.
  • Excellent problem-solving skills and the ability to work independently as well as part of a team.
  • Strong communication and collaboration skills to work effectively with stakeholders at all levels.
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