Engineer II - Data Engg & AI

Anblicks Inc.; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A data solutions company in Hyderabad is seeking a skilled Data Engineer to leverage modern data stack tools such as DBT, Snowflake, and Airbyte. The role focuses on building scalable data pipelines, ensuring data transformations and quality checks, and collaborating across teams to provide clean and reliable data. Strong SQL expertise is essential. This is an excellent opportunity to contribute to a growing analytics ecosystem in a vibrant tech environment.

Qualifications

• Strong hands-on experience with DBT, including models, macros, tests, exposures.
• Proficiency in Snowflake for warehouses, roles, and performance tuning.
• Experience using Airbyte for data ingestion.
• Experience with Dagster for pipeline orchestration.
• Excellent SQL skills for complex transformations.

Responsibilities

• Design, build, and maintain ELT/ETL pipelines using Airbyte and Dagster.
• Develop and manage DBT models for staging, transformation, and testing.
• Work with Snowflake to build warehouses and optimize queries.
• Implement data quality checks and pipeline observability.
• Collaborate with teams to deliver clean data assets.

Skills

DBT

Snowflake

Airbyte

Dagster

SQL

Job description

Job Summary:

We are looking for a skilled Data Engineer with hands‑on experience in modern data stack tools including DBT, Snowflake, Airbyte, Dagster, and strong SQL expertise. The role involves building scalable data pipelines, ensuring high‑quality transformations, and enabling reliable data flows across the analytics ecosystem.

Key Responsibilities

• Design, build, and maintain ELT/ETL pipelines using Airbyte (ingestion) and Dagster (orchestration).
• Develop and manage DBT models, including staging, transformation, testing, and documentation.
• Work extensively with Snowflake to build warehouses, optimize queries, manage schemas, and ensure data performance.
• Implement data quality checks, lineage tracking, and pipeline observability.
• Collaborate with analytics, product, and engineering teams to deliver clean and reliable data assets.
• Optimize SQL queries and data models for performance and cost efficiency.
• Automate pipeline deployments and follow best practices for version control and CI/CD.

Required Skills

• Strong hands‑on experience with DBT (models, macros, tests, exposures).
• Proficiency in Snowflake — warehouses, roles, Snowpipe, performance tuning.
• Experience using Airbyte for data ingestion and connector configuration.
• Experience with Dagster for pipeline orchestration and scheduling.
• Excellent SQL skills for complex transformations and optimization.
• Understanding of data modeling (star/snowflake schema, dimensional modeling).
• Knowledge of Git-based workflows and CI/CD.