Senior Data Engineer

Scripbox; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Competitive salary

Learning and development allowance

Flexible work policies

Career progression opportunities

Performance-based rewards

Job summary

Scripbox, a leading wealth management firm in Bengaluru, seeks a Senior Data Engineer to own critical data pipelines end-to-end in a SEBI-regulated fintech environment. You will work with staff engineers to drive data platform decisions and reliability.

You will design DBT models, implement Python-based ingestion, and manage Airflow DAGs, with strong focus on data governance and backfills. 5–9 years of experience and cloud data warehouse skills are required.

Qualifications

• 5–9 years hands-on data engineering experience with production pipelines.
• Strong SQL skills including CTEs, window functions, and performance tuning at scale.
• Deep expertise in DBT models, macros, tests, and incremental strategies.
• Extensive experience with Airflow and complex DAGs, dependencies, and backfills.
• Cloud data warehouses/lactehouses: Databricks, Redshift, BigQuery, Snowflake; solid Python data engineering skills.

Responsibilities

• Design, build, and maintain production data pipelines end-to-end.
• Ensure data quality, validation, and governance (RBAC/ABAC, PII masking).
• Manage data ingestion via Python workflows and Airflow DAGs with backfills and monitoring.
• Collaborate with Product, Compliance, and BI teams to meet SLAs and reliability targets.
• Support Unity Catalog migration and schema decisions in Databricks.

Skills

Data Engineering

Tools

SQL

DBT

Python

Airflow

Databricks

Redshift

BigQuery

Snowflake

AWS

S3

EC2

EKS

IAM

Secrets Manager

Job description

Scripbox is a leading wealth management company with over 14 years of expertise and more than ₹23,000 crore in assets under management (AUM). We offer a comprehensive suite of wealth management solutions, including Mutual Fund Services (MFS), Registered Investment Advisor (RIA), and Portfolio Management Services (PMS), helping clients achieve their long-term financial goals.

As part of our growth journey, Scripbox has successfully acquired and integrated 10 companies since 2021, expanding our presence across eight office locations. Backed by Series D funding, we continue to scale rapidly, strengthen our wealth management capabilities, and deliver innovative, client-centric investment solutions across India.

Role Overview:

We are looking for a Senior Data Engineer to join Scripbox’s Data team and own critical data pipelines end-to-end—from source systems to business-critical reporting. This is a hands-on senior individual contributor role in a SEBI-regulated fintech environment, where data accuracy and reliability directly impact customer and business decisions. You will work with high autonomy alongside staff engineers and architects, contribute to technical decisions, and own significant parts of the data platform.

Key Responsibilities:

• Data Pipelines: Design, build, and maintain DBT models and production pipelines with strong focus on idempotency, re-runnability, and safe backfills.
• Python Ingestion: Build reliable ingestion workflows with watermarking, validation, and support for formats such as CSV, DBF, Parquet, and ZIP files. Airflow: Build and operate production DAGs, managing dependencies, failures, retries, and backfills.
• Reliability: Own SLAs, monitoring, and incident response using tools such as Prometheus, Grafana, and Graylog; drive incidents to root cause.
• Data Quality: Implement validation, anomaly detection, and automated pipeline-level checks. Data Governance: Implement RBAC/ABAC, PII masking, and audit controls aligned with retention requirements.
• Databricks: Support the Unity Catalog migration and contribute to decisions around schemas, incremental models, and cluster strategy.
• Engineering Standards: Follow coding, testing, and documentation standards; review PRs and collaborate with Product, Compliance, and BI teams.

Skills:

• Must Have 5–9 years of hands-on Data Engineering experience with independent ownership of production pipelines. Strong SQL skills, including CTEs, window functions, incremental processing, and performance tuning at scale.
• Strong DBT experience across models, macros, Jinja, incremental strategies, tests, and packages. Strong production experience with Airflow, including complex DAGs, dependency management, failure handling, and backfills.
• Experience designing cloud data warehouses/lakehouses using Databricks, Redshift, BigQuery, or Snowflake. Strong Python skills for data engineering.
• Good understanding of AWS, particularly S3, EC2, EKS, IAM, and Secrets Manager. Ability to write clear, structured, and referenceable technical specifications.

What We Offer :

• Competitive salary with comprehensive benefits, including NPS, gratuity, and performance-based rewards that recognize your skills and contributions.
• Performance-based variable pay and incentive programs (role-based), along with additional function-specific benefits where applicable.
• Flexible work policies that support work-life balance while enabling collaboration and productivity.
• Annual learning and development allowance to support your professional growth, continuous learning, and upskilling.
• Clear career progression opportunities with exposure to challenging, high-impact work in a collaborative, inclusive, and innovation-driven environment.