Senior Data Engineer / Analytics Lead - Bangalore

Job Description

What is this role about

We are looking for a Senior Data Engineer & Analytics Lead to spearhead our data initiatives, ensuring seamless data engineering, insightful analysis, and data-driven decision-making. This role involves managing our data infrastructure, designing ETL pipelines, analyzing trends, and leading a team to generate actionable business insights.

As our Senior Data Engineer, you'll :

Data Engineering & Infrastructure:

• Design, build, and optimize data pipelines (ETL/ELT) to integrate multiple data sources (RDS PostgreSQL, Metabase, AWS Quicksight, AWS Glue, etc.).
• Ensure scalability, reliability, and security of the data infrastructure.
• Work with AWS (Glue, S3, Redshift, RDS), Metabase, and other BI tools to enable efficient data processing.
• Maintain and improve data quality, governance, and compliance standards.

Data Analysis & Insights:

• Perform exploratory data analysis (EDA) to uncover business trends and patterns.
• Create and maintain dashboards, reports, and data visualizations for business stakeholders using Metabase or other BI tools.
• Use SQL, Python, and statistical techniques to analyze and interpret data.
• Provide insights to optimize user acquisition, engagement, churn reduction, and product-led growth strategies.

Team Management & Collaboration:

• Lead a team of data engineers and analysts, ensuring high performance and continuous learning.
• Collaborate with product, marketing, and business teams to align data initiatives with company goals.
• Establish best practices for data engineering, analytics, and reporting.

To win, you will need:

5+ years of experience in data engineering, analytics, or a related field.

Expertise in SQL, Python, PostgreSQL, and AWS (Glue, S3, Redshift, RDS).

Strong experience with ETL/ELT workflows and data pipeline orchestration.

Proficiency in data visualization tools like Metabase, Tableau, or Power BI.

Experience in team management and stakeholder communication.

Ability to translate business problems into data-driven solutions.

Preferred Skills:

Experience in EdTech or subscription-based businesses.

Understanding of churn prediction, product analytics, and marketing data pipelines.

Hands-on experience with machine learning models for predictive insights.