Data Pipeline Engineer

2 days ago

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Logo of YipitData

YipitData

YipitData is a data analysis company that aggregates and analyzes billions of data points every day to provide accurate, timely insights on over 1,000 companies. Their primary focus is on delivering actionable data to investors and companies, enabling smarter decision-making and growth strategies. With their alternative data, YipitData covers a wide range of industries, offering detailed reports and insights for brands, retailers, investors, and other partners. The company prides itself on accuracy and speed of data delivery, supported by a team that consistently collects, cleans, and analyzes high-quality datasets.

201 - 500 employees

Founded 2013

🤝 B2B

💸 Finance

💰 $475M Series E on 2021-12

📋 Description

• You’ll be working with many strategic engineering leaders within the company. • You’ll report directly to the Director of Data Engineering. • You’ll be one of the founding members of our Data Engineering team presence in India. • You’ll work with a global team spanning three continents. • You’ll be challenged with a lot of big data problems. • Report directly to the Director of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. • Build and maintain end-to-end data pipelines. • Help with setting best practices for our data modeling and pipeline builds. • Create documentation, architecture diagrams, and other training materials. • Become an expert at solving complex data pipeline issues using PySpark and SQL. • Collaborate with stakeholders to incorporate business logic into our central pipelines. • Deeply learn Databricks, Spark, and other ETL toolings developed internally.

🎯 Requirements

• You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline. • You have 3+ years of experience as a Data Engineer or in other technical functions. • You are excited about solving data challenges and learning new skills. • You have a great understanding of working with data or building data pipelines. • You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. • You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy. • You are eager to constantly learn new technologies. • You are a self-starter who enjoys working collaboratively with stakeholders. • You have exceptional verbal and written communication skills. • Nice to have: Experience with Airflow, dbt, Snowflake, or equivalent.

🏖️ Benefits

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

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6 days ago

Supports, develops and maintains data analytics platform at Cummins. Works with IT to enable agile data delivery.

🇮🇳 India – Remote

🔥 Funding within the last year

💰 $75M Grant on 2024-07

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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