Seeking a highly skilled Senior Data Engineer with expertise in Snowflake, cloud data platforms, and scalable data engineering practices.

About the Company

LatentView Analytics is a leading data analytics firm known for its exceptional prowess in providing data-driven insights that empower businesses to make informed decisions. With a suite of advanced analytics solutions and a focus on innovation, LatentView specializes in harnessing data to drive strategies and foster growth across various sectors.

Role Overview

As a Senior Data Engineer, you will be pivotal in creating data engineering solutions that facilitate the implementation of advanced analytics, AI/ML, and business intelligence initiatives. This role demands a hands-on approach to designing, developing, and optimizing enterprise-grade data pipelines and architectures. You will work with modern cloud data platforms, particularly Snowflake, and will be responsible for ensuring efficient data processing, quality, and accessibility throughout the organization.

Key Responsibilities

Data Engineering & Platform Development

• Design, build, and maintain scalable data pipelines for batch and real-time processing.
• Develop and optimize enterprise data platforms using Snowflake and cloud-native technologies.
• Build robust ETL/ELT frameworks for ingesting, transforming, and processing structured and unstructured data.
• Implement scalable data lake, data warehouse, and lakehouse architectures.
• Optimize data storage, query performance, and compute utilization within Snowflake environments.
• Develop reusable data engineering frameworks and best practices.

Snowflake Engineering & Optimization

• Architect and manage Snowflake data platform capabilities including Snowpipe, Streams & Tasks, Time Travel, Secure Data Sharing, Cloning, Materialized Views, and Data Marketplace Integrations.
• Implement performance tuning, workload optimization, and cost governance strategies.
• Design secure and scalable Snowflake data models and schemas.
• Enable enterprise-grade governance, monitoring, and access controls within Snowflake.

Tech Stack

• Snowflake
• SQL
• Python
• AWS, Azure, or GCP (cloud platforms)
• ETL/ELT frameworks
• Spark, PySpark, Databricks (preferred)
• Kafka, Airflow (preferred)

Given the sophisticated projects and the level of expertise required, the expected salary for this position typically ranges from ₹80,000 to ₹1,50,000 per month, depending on experience and skill level.

Required Skills

• Strong expertise in Snowflake, SQL, Python, and cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience in ETL/ELT pipeline development and data orchestration.
• Experience with data lake, data warehouse, and lakehouse architectures.
• Strong understanding of data modeling, query optimization, and performance tuning.
• Experience supporting analytics, AI/ML, and BI workloads.
• Knowledge of cloud-native data engineering best practices and governance frameworks.

Preferred Skills

• Experience with Spark, PySpark, Databricks, Kafka, or Airflow.
• Exposure to AI/ML and GenAI data enablement workflows.
• Familiarity with CI/CD, DevOps, and Infrastructure as Code concepts.

Educational Qualification

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related technical disciplines.