Data Engineer Snowflake

Digitrix Software LLP; India; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Digitrix Software LLP is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines in a cloud-based environment. You will work with Snowflake or Databricks to build data warehouses and orchestrate workflows using Airflow, while applying CI/CD practices with GitLab.

The role requires 5–10 years in data engineering, strong SQL/PLSQL skills, and a solid foundation in data modeling and cloud platforms (AWS/Azure/GCP).

Qualifications

• 5–10 years of Data Engineering experience.
• Strong data warehousing, cloud platforms, and ETL/ELT expertise.
• Proficient in SQL/PLSQL and data modeling.
• Hands-on with Spark/BigQuery knowledge is a plus.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data warehouses using Snowflake or Databricks.
• Develop workflows with Apache Airflow and CI/CD pipelines with GitLab.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Ensure data quality, governance, and platform stability.

Skills

Snowflake/Databricks

Apache Airflow

ETL/ELT

Data Modeling

CI/CD

GitLab

SQL/PLSQL

Cloud fundamentals

Tools

Snowflake

Databricks

Apache Airflow

GitLab

AWS

Azure

GCP

S3

Job description

We are looking for an experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in data warehousing, ETL development, orchestration tools, cloud platforms, and SQL/PLSQL programming. You will be responsible for designing, developing, and maintaining scalable data pipelines while collaborating with business stakeholders and technical teams to deliver robust data solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration solutions.
• 5–10 years of experience in Data Engineering.
• Build and optimize data warehouse solutions using Snowflake or Databricks.
• Develop and manage workflow orchestration using Apache Airflow.
• Perform data modeling and database design to support business requirements.
• Optimize SQL/PLSQL queries and perform performance tuning for large-scale data processing.
• Implement CI/CD pipelines and deployment processes using GitLab.
• Work with cloud storage solutions such as AWS S3, Azure Blob Storage, or ADLS.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Present technical solutions and architectural recommendations to architects and client stakeholders.
• Ensure data quality, governance, scalability, and platform stability.
• Participate in technology exploration and contribute to innovation initiatives.
• Improve monitoring, alerting, and operational processes for data platforms.
• Independently handle client interactions and work closely with cross-functional teams.

Must-Have Skills

• Strong experience with Snowflake or Databricks
• Expertise in Apache Airflow (Orchestration)
• Strong understanding of ETL/ELT processes
• Experience in Data Modeling
• Experience with CI/CD pipelines, deployment processes, and GitLab
• Cloud fundamentals with experience in:
  • AWS S3 (Preferred)
  • Experience with AWS, Azure, or GCP cloud platforms

Good-to-Have Skills

• Python and Pytest
• Kafka
• Flyway
• Runway
• AWS Services:
  • Aurora
  • RDS
  • Maven
  • Jira

Preferred Candidate Profile

• 5–10 years of experience in Data Engineering.
• Strong hands-on experience in data warehousing and cloud-based data platforms.
• Experience handling large-scale datasets and performance optimization.
• Ability to work independently and manage client interactions.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile development environments.

Why Join Us?

• Opportunity to work on modern cloud-based data platforms.
• Exposure to cutting-edge data engineering technologies.
• Collaborative environment with strong technical leadership.
• Opportunities for learning, innovation, and career growth.