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Data Engineer
2 months ago
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in-end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there.
Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
The below role is for our Bengaluru office.
About the Role: SDE 1/SDE 2
We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.
You will be responsible for designing, implementing, and maintaining data pipelines to support our organization's data infrastructure and analytics initiatives. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure the seamless flow of data across various systems
and platforms.
Required Skills:
Proficiency in Python programming language for data manipulation and pipeline
development.
Strong understanding of SQL and relational databases for data querying and manipulation.
Experience with version control systems like Git for code management and collaboration.
Working knowledge on least one of the cloud platforms (AWS, GCP, Azure) is required.
Preferred Skills:
Familiarity with cloud platforms such as Azure , particularly Azure Data Factory , for data
integration and orchestration.
Experience with Databricks for big data processing and analytics.
Knowledge of data warehousing concepts and methodologies.
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field.
3 to 7 years of experience in data engineering or a related role.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.