Designation : Analyst - Data Engineering

Level : L1

Location : Chennai

Experience : 3 to 4 Years

Job Role :

We are seeking a highly skilled and visionary Data Engineer to build, and optimize our contemporary data architecture within the Investment and Wealth Management sector. In this role, you will develop an end-to-end scalable data pipelines, enterprise data warehousing, and advanced analytics platforms.

You will leverage a cutting-edge modern data stack—including Azure, Snowflake, dbt, Fivetran, ADF, Python, and PySpark—to deliver high-quality, actionable financial data. Additionally, you will play a pivotal role in pioneering the integration of Generative AI (Gen AI) solutions to enhance financial insights, automate data workflows, and support intelligent investment strategies.

Responsibilities :

ELT Pipeline Support

- Assist in building and maintaining ELT pipelines using tools like Fivetran for data ingestion.

- Work with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) to support secure data movement and storage for financial datasets.

- Monitor pipeline runs and help troubleshoot basic issues under senior guidance.

Snowflake & dbt Development

- Contribute to creating and maintaining data models in Snowflake.

- Use dbt to write SQL transformations, add documentation, and perform basic testing.





- Learn version control practices and collaborate with the team to ensure reliable data workflows.

Performance & Cost Awareness

- Support monitoring of pipeline performance and resource usage in Snowflake and Azure.

- Learn how optimization techniques (like clustering or query tuning) can improve efficiency and reduce costs.

- Escalate performance concerns to senior engineers for deeper analysis.

Coding & Framework Contribution

- Write clean, modular SQL queries for financial data analysis.

- Use Jinja templating in dbt to create reusable code components.

- Develop Python scripts or PySpark jobs for simpler data processing tasks, with mentorship for more complex work.

AI & Emerging Tools Exploration

- Learn how AI and large language models (LLMs) can be applied in data engineering.

- Assist in experimenting with AI driven tools that support data platform operations.

- Document findings and share with the team to encourage innovation.

Required skills :

Data Engineering - Azure, Snowflake, DBT, Databricks, Gen AI, SQL, Pyspark

Data Visualization - Power BI, Power Platform

Job Snapshot

Updated Date

07-10-2026

Job ID

J_5767

Location

Chennai, Tamil Nadu, India

Experience

3 - 4 Years

Employment Type

Permanent

📌 Analyst - Data Engineering (Chennai)
🏢 LATENTVIEW ANALYTICS
📍 Chennai