Lead Data Engineer

4 days ago

Bangalore, India LumenData Full time

Job Title: Lead Data Engineer – Snowflake & dbt Bangalore (Hybrid) LumenData is a leading consulting firm specializing in enterprise data management, analytics, and cloud modernization. We partner with clients across industries to deliver trusted data solutions that drive innovation and business growth. We are seeking an experienced Lead Data Engineer with strong expertise in Snowflake and dbt to design and implement scalable, high-performing data solutions. The ideal candidate will have proven experience in building modern data pipelines, mentoring engineering teams, and driving best practices for cloud-based data platforms. Lead the design, development, and optimization of data pipelines and data warehouse solutions on Snowflake . Work with Snowflake features including: Types of Tables, Storage Integration, Internal & External Stages, Streams, Tasks, Views, Materialized Views, Time Travel, Fail Safe, Micro-partitions, Warehouses, RBAC, COPY Command, File Formats (CSV, JSON, XML), Snowpipe, Stored Procedures (SQL/JavaScript/Python). Develop and maintain dbt models for data transformation, testing, and documentation. Collaborate with cross-functional teams — data architects, analysts, and business stakeholders — to deliver robust data solutions. Ensure high standards of data quality, governance, and security across pipelines and platforms. Integrate data from multiple sources using tools such as Fivetran , Qlik Replicate , or IDMC (experience in at least one). Optimize cost, performance, and scalability of cloud-based data environments. Implement CI/CD workflows using Bitbucket or GitHub (experience in at least one). Work with data modeling techniques such as Entity (Sub-Dim, Dim, Facts) and Data Vault (Hub, Link, Sat) . Required Skills & Experience ~8–12 years of overall experience in Data Engineering , including at least 3–4 years in a lead role. ~ Strong hands-on expertise in Snowflake (data modeling, performance tuning, query optimization, security, and cost management). ~ Proficiency in dbt (core concepts, macros, testing, documentation, and deployment). ~ Solid programming skills in Python (for data processing, automation, and integration). ~ Experience with workflow orchestration tools such as Apache Airflow . ~ Exposure to ELT/ETL tools. ~ Strong understanding of modern data warehouse architectures , data governance, and cloud-native environments. ~ Hands-on experience with Databricks (PySpark, Delta Lake, MLflow). Exposure to other cloud platforms — AWS , Azure , or GCP . Experience in building CI/CD pipelines for data workflows. Opportunity to work with cutting-edge cloud and data technologies. Collaborative, innovative, and growth-oriented work culture. Hybrid work model with flexibility and continuous learning opportunities. Be part of a team shaping enterprise data strategies for global clients.

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