Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Senior Specialist, Business Data Architecture
- Location
- Pune
- Type
- Full time
- Posted
- 5MO AGO
About the role
We are looking for a Data Engineer who is passionate about building robust, scalable, and efficient data solutions. The ideal candidate will have strong expertise in ETL development, Snowflake, and modern cloud-based data platforms, along with understanding in Power BI for analytics and reporting. This role demands a solid understanding of data engineering principles, ETL concepts, and financial domain knowledge.
As an individual contributor, you will be responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential.
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL workflows for ingestion, transformation, and integration.
- Build and optimize solutions on Snowflake and other cloud data platforms.
- Leverage ETL tools such as Informatica, Pentaho, or Azure Data Factory (ADF) to deliver scalable data solutions.
- Implement best practices for data modeling, performance tuning, and data governance.
- Develop and manage Power BI dashboards and reports to support business intelligence initiatives.
- Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals.
- Ensure compliance with security and regulatory standards for financial data.
- Drive projects independently, managing timelines and quality expectations.
Required Skills & Qualifications
- Proven experience as a Data Engineer with strong knowledge of ETL concepts, data warehousing, and data architecture.
- Experience with Python and SQL for automation and advanced data processing.
- Knowledge of CI/CD pipelines, DevOps, and data orchestration frameworks.
- Hands-on experience with Snowflake and at least one ETL tool (Informatica, Pentaho, or ADF).
- Familiarity with cloud database technologies and modern data engineering practices.
- Understanding of Power BI and BI platform infrastructure.
- Strong understanding of financial domain concepts.
- Excellent problem-solving, communication, and interpersonal skills.
Self-driven, motivated, and capable of delivering high-quality solutions independently.
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