Lead Data Engineer (Snowflake+DBT)

Mployee.me; Hyderabad; Hybrid; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model (3 days in-office)

Job summary

Mployee.me in Hyderabad is seeking a Lead Data Engineer to architect and scale data pipelines using Snowflake and dbt, shaping data models and governance across cloud platforms. The role demands 8+ years of experience and strong SQL, Airflow, and CI/CD skills, with client-facing responsibilities and a mandatory hybrid work arrangement.

You will mentor teams, collaborate with clients, and ensure robust data solutions with a focus on GenAI readiness on enterprise data platforms.

Qualifications

• 7+ years of experience in Data Engineering, Data Warehousing, or Analytics.
• 6+ years of hands-on experience with Snowflake.
• 4+ years of strong experience with dbt Core and/or dbt Cloud.
• Advanced SQL development and performance tuning.
• Experience in data modeling techniques including Kimball Dimensional Modeling.
• Strong knowledge of cloud platforms such as Azure, AWS, or GCP.
• Experience with orchestration and ingestion tools such as Airflow, ADF, Fivetran, Matillion, or Informatica.
• AI: Working knowledge of Snowflake Cortex and Snowpark with ML/GenAI use cases on enterprise data platforms.
• Hands‑on experience with Git, CI/CD pipelines, and Agile methodologies.
• Excellent communication and client‑facing skills.
• Snowflake Certification (SnowPro Core/Advanced).

Responsibilities

• Lead design and development of data pipelines on Snowflake with dbt.
• Model data using Kimball dimensional modeling techniques.
• Collaborate with clients and teams to deliver scalable data solutions.

Skills

Snowflake

dbt Core

dbt Cloud

SQL

Data Warehousing

Airflow

Git

CI/CD

Agile

Communication

Tools

Airflow

ADF

Fivetran

Matillion

Informatica

Job description

We are looking for a Lead Data Engineer (Snowflake+DBT)

Locations: #Hyderabad |#Bangalore | #Chennai | #Pune | #Nagpur

Experience: 8+ Years

Employment Type: Full-time | Hybrid (3 days work from office)

Interview Mode: 1 Round - Face-to-Face (Mandatory)

Notice Period: Immediate Joiners

Required Qualifications

• 7+ years of experience in Data Engineering, Data Warehousing, or Analytics.
• 6+ years of hands-on experience with Snowflake.
• 4+ years of strong experience with dbt Core and/or dbt Cloud.
• Advanced SQL development and performance tuning expertise.
• Experience in data modeling techniques including Kimball Dimensional Modeling.
• Strong knowledge of cloud platforms such as Azure, AWS, or GCP.
• Experience with orchestration and ingestion tools such as Airflow, ADF, Fivetran, Matillion, or Informatica.
• AI: Working knowledge of Snowflake Cortex and Snowpark, with practical experience supporting ML or GenAI use cases on enterprise data platforms.
• Hands‑on experience with Git, CI/CD pipelines, and Agile methodologies.
• Excellent communication and client‑facing skills.
• Snowflake Certification (SnowPro Core/Advanced).