Data Engineer

Azilen Technologies; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A tech consulting firm in Gurugram is seeking a Mid-Senior Level Data Engineer. The role involves managing design schemas, tuning SQL queries, and developing ETL pipelines. Candidates should have a strong background in data engineering, with experience in tools like Azure Data Factory, Snowflake, and Kafka. The position requires excellent communication skills and offers complete ownership of execution in an innovative environment.

Qualifications

• 4+ years of data engineering experience with data platform knowledge.
• 2 years of experience with SSAS tabular models.
• Experience in designing ingestion and orchestration pipelines using Kafka and Python.

Responsibilities

• Manage and create design schema and code review.
• Independently analyze and correct issues in real-time.
• Refine and automate regular processes.

Skills

Data Engineering

SQL query tuning

ETL pipelines

Kafka

Python

Data Warehouse structures

Data Lake Concepts

Communication skills

Tools

Azure Data Factory

Snowflake

Power BI

ThoughtSpot

Job description

Manage and create design schema, SQL query tuning, and code review.

Who you are:

• Min 4+ years of professional experience in the field of data engineering with knowledge of the data platform and DWH development
• Min. 2 years of hands‑on experience in SSAS tabular models
• Designed Data Ingestion and Orchestration Pipelines with Kafka and Python
• Proven track record of developing and maintaining ETL pipelines at scale.
• Deep understanding of Data Modeling & Data Warehouse structures.
• Design and develop DBT models and build the data pipeline processes to perform processes as per DBT scripting
• Experience with analytical tools such as SQL (Snowflake), ETL/ELT (Azure Data Factory, APIs), Cloud (Azure Functions & Storage), and BI tools (Power BI, ThoughtSpot)
• Experience in a role performing data warehouse and analytics solution design and development using a variety of techniques
• Experience in Data Lake Concepts with Structured, Semi-Structured, and Unstructured Data
• Independently analyze and correct issues in real‑time, providing end‑to‑end problem resolution.
• Refine and automate regular processes, track issues, and document changes.
• High level of independence and responsibility
• Excellent teamwork and communication skills

What will excite you:

• Complete ownership and independence of execution
• Experiment, fail, and learn. (with a condition - 'Fail Fast')
• High pedigree, high‑caliber team
• Contribute to every area of our business. Have a real impact on your work.

Location: Gurugram - Work from Office

Seniority level

Mid-Senior level

Employment type

Full-time

Industries

IT Services and IT Consulting