Analyst - Data Engineering
Chennai · Mid Level
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Job description
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 modern 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
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