Senior Software Engineer- ETL

BOLD; Dadri; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

BOLD is seeking an ETL Specialist to help build and maintain a scalable BI platform. Working with a Data Team, you will tackle complex data models and large transaction data across the enterprise.

The BI team manages data warehousing, ETL, data visualization, and QA, using Snowflake, Sisense, and MicroStrategy, along with Python, R, and Airflow for ETL and analytics.

Qualifications

• 5+ years in ETL development within a data warehousing or BI team.
• Understanding of data integration architecture and ETL standards.
• Hands-on Python programming with Pandas/NumPy.
• Strong SQL skills including complex joins and performance tuning.
• Experience with Redshift/SQL Server/Oracle/PostgreSQL (any one).
• Broad understanding of data warehousing and dimensional modelling concepts.

Responsibilities

• Architect, develop, and maintain a highly scalable data warehouse and ETL processes.
• Utilize Python and Airflow to integrate data into data warehouse.
• Integrate third-party data into the data warehouse (Google Analytics, Google Ads, Iterable).

Skills

ETL development

Data integration architecture

Python (Pandas, NumPy)

SQL & performance tuning

Databases (Redshift/SQL Server/Oracle/

Data warehousing concepts

Tools

Airflow

Snowflake

Sisense

MicroStrategy

Job description

BOLD is seeking an ETL Specialist who will help build the architecture and maintain a robust, scalable, and sustainable business intelligence platform. Assisted by the Data Team, this role will work with highly scalable systems, complex data models, and a large amount of transactional data.

ABOUT THIS TEAM

BOLD Business Intelligence(BI) team is a centralized team responsible for managing all aspects of the organization’s BI strategy, projects and systems. BI team enables business leaders to make data-driven decisions by providing reports and analysis. The team is responsible for developing and manage a latency-free credible enterprise data warehouse which is a data source for decision making and input to various functions of the organization like Product, Finance, Marketing, Customer Support etc.

BI team has four sub-components as Data analysis, ETL, Data Visualization and QA. It manages deliveries through Snowflake, Sisense and Microstrategy as main infrastructure solutions. Other technologies including Python, R, Airflow are also used in ETL, QA and data visualizations.

WHAT YOU’LL DO

• Architect, develop, and maintain a highly scalable data warehouse and build/maintain ETL processes.
• Utilize Python and Airflow to integrate data from across the business into data warehouse.
• Integrate third party data into the data warehouse like google analytics, google ads, Iterable

WHAT YOU’LL NEED

• Experience working as an ETL developer in a Data Engineering, Data Warehousing or Business Intelligence team
• Understanding of data integration/data engineering architecture and should be aware of ETL standards, methodologies, guidelines and techniques
• Hands on with python programming language and its packages like Pandas, NumPy
• Strong understanding of SQL queries, aggregate functions, Complex joins and performance tuning
• Should have good exposure of Databases like Redshift/SQL Server/Oracle/PostgreSQL (any one of these)
• Broad understanding of data warehousing and dimensional modelling concepts

EXPERIENCE-

• Senior Software Engineer, ETL- 4.5 years+

#LI-Hybrid

About Bold

We Transform Work Lives
As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate And Promote Diversity And Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don’t discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.

Under San Francisco’s Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.