Data Engineer, Senior

Newfold Digital; Mumbai City; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Bluehost is seeking a data engineer to design, build, and optimize batch and streaming data pipelines that power analytics for our SMB SaaS platform. You will work on warehouse structures, implement complex SQL, and collaborate with analytics, product, and engineering teams to model reusable datasets.

You should have strong SQL and Python skills, hands-on experience with relational databases and dimensional data warehousing, and comfort using AI-assisted tools to accelerate development and data

Qualifications

• 3-5 years in data engineering or related backend/data role
• Solid experience with relational databases and dimensional data-warehousing concepts
• Real experience building and operating data pipelines (batch or streaming)
• Comfortable using AI-assisted tools to speed up development, debugging, and validation
• Strong SQL skills and data-modeling tradeoffs (normalization, partitioning, performance)
• Working proficiency in Python (preferred) or similar language used in data engineering
• Bonus: experience with cloud data warehouses (Snowflake, BigQuery, Redshift, ClickHouse)
• Bonus: orchestration tools such as Airflow, Dagster, Prefect, or event-streaming tools like Kafka
• Bonus: experience in cloud services such as Oracle Cloud

Responsibilities

• Design, build, and maintain reliable batch and/or streaming data pipelines that move data from source systems into the warehouse
• Develop and optimize data warehouse structures (fact/dimension modeling, partitioning, indexing) to support analytics and reporting at scale
• Write and tune complex SQL across large production-scale datasets
• Use AI-assisted tools to speed up pipeline development, debugging, and data-quality checks
• Write tested, version-controlled pipeline code and contribute to CI practices that catch data-quality regressions
• Partner with analytics, product, and engineering teams to translate data questions into reusable datasets
• Monitor pipeline health proactively, catching data-quality or performance issues before dashboards
• Document data models, lineage, and pipeline logic for self-serve use by other teams

Skills

SQL proficiency

Python

Data modeling

AI-assisted tooling

Cloud data concepts

Tools

Snowflake

BigQuery

Redshift

ClickHouse

Airflow

Dagster

Prefect

Kafka

Oracle Cloud

Job description

Who We Are

At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big.We’rethe all-in-one platform for small businesses to grow online with powerful simplicity, premium performance, smarttoolsand human support.

As Bluehost scales, good decisions depend on good data.You’llbuild the pipelines and warehouse infrastructure that turn raw, messy data into trusted, well-modeled insight, fueling everything from product analytics to growth strategy across a fast-growing SMB SaaS platform.

What You’ll Do & How You’ll Make Your Mark

• Design, build, andmaintainreliable batch and/or streaming data pipelines that move data from source systems into the warehouse without silent failures

• Develop and optimize data warehouse structures (fact/dimension modeling, partitioning, indexing) tosupport analytics and reporting at scale

• Write and tune complex SQL across large, production-scale datasets, balancing query performance against warehouse cost

• Use AI-assisted tools (Copilot, Cursor) to speed up pipeline development, debugging, and data-quality checks

• Write tested, version-controlled pipeline code and contribute to CI practices that catch data-quality regressions before they ship

• Partner directly with analytics, product, and engineering teams to translate ambiguous data questions into well-modeled, reusable datasets

• Monitor pipeline health proactively, catching data-quality or performance issues before they hit a dashboard

• Document data models, lineage, and pipeline logic so other teams can self-serve with confidence

Who You Are & What You’ll Need to Succeed

• 3-5 years in data engineering or a closely related backend/data role

• Solid experience with relational databases and dimensional data-warehousing concepts

• Real experience building and operating data pipelines (batch or streaming), not just writing one-off scripts

• Comfortable using AI-assisted tools to speed up development, debugging, and validation

• Strong SQL skills and a genuine grasp of data-modeling tradeoffs (normalization, partitioning, performance)

• Workingproficiencyin Python(preferred)or another language commonly used fordata engineering

• Bonus: experience with cloud data warehouses (Snowflake,BigQuery, Redshift, orClickhouse), orchestration tools such as Airflow,Dagster, or Prefect, or event-streaming tools such as Kafka.

• Bonus: experience in cloud services such as Oracle cloud.

This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.