Data Engineer
DataEngineer-ProductDelivery
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“Data Engineer - Product Delivery at Data Engineer. Skills: Data Pipeline Development, Data Modeling, Cloud Platforms, Python, SQL, Spark, Hadoop, Redshift, Snowflake, BigQuery, Airflow. Design, build, and maintain scalable ETL/ELT pipelines for product data ingestion and transformation. Develop and optimize data models to support analytics, reporting, and product features”
What You'll Achieve.
support product development, analytics, and business decision-making; deliver data solutions aligned with product goals; ensuring low latency and high availability; maintain accuracy and consistency
Industry & Context.
analytical and troubleshooting skills
What They're Looking For.
Must Have
Proficiency in Python, Proficiency in SQL, Hands-on experience with Spark, Hadoop, or similar frameworks, Knowledge of Redshift, Snowflake, BigQuery, or equivalent, Experience with Airflow, Luigi, or similar scheduling tools, Familiarity with Git and CI/CD practices, Practical experience with AWS (Glue, EMR, S3), Azure Data Factory, or GCP Dataflow, analytical and troubleshooting skills with a product-focused mindset
Nice to Have
Scala/Java preferred, Experience with cloud technologies (AWS, Azure, GCP), Working knowledge of data visualization tools such as Power BI or Tableau, Excellent communication skills, collaborative, team-oriented approach
What You'll Do.
and maintain scalable ETL/ELT pipelines for product data ingestion and transformation
Develop and optimize data models to support analytics
Work with cloud-based data solutions (AWS
GCP) to ensure reliable and secure data delivery
Monitor and improve data pipeline performance
ensuring low latency and high availability
Implement data validation
and governance practices to maintain accuracy and consistency
Create and maintain technical documentation for data workflows and architecture
How You'll Work.
Team & Collaboration
Partner with product managers, analysts, and software engineers to deliver data solutions aligned with product goals
Communication Scope
Excellent communication skills
Full Job Description
**Job Title: Data Engineer – Product Delivery** **Experience: 4- 6 years** **Summary:** We are seeking a highly skilled **Data Engineer** to join our **Product Delivery** team. The ideal candidate will have 4–6 years of experience in designing, building, and optimizing data pipelines and architectures to support product development, analytics, and business decision-making. **What You Will Do:** * **Data Pipeline Development** : Design, build, and maintain scalable ETL/ELT pipelines for product data ingestion and transformation. * **Data Modeling** : Develop and optimize data models to support analytics, reporting, and product features. * **Cloud Platforms** : Work with cloud-based data solutions (AWS, Azure, GCP) to ensure reliable and secure data delivery. * **Collaboration** : Partner with product managers, analysts, and software engineers to deliver data solutions aligned with product goals. * **Performance Optimization** : Monitor and improve data pipeline performance, ensuring low latency and high availability. * **Data Quality** : Implement data validation, monitoring, and governance practices to maintain accuracy and consistency. * **Documentation** : Create and maintain technical documentation for data workflows and architecture. **What We Look For:** **Required:** * **Programming Languages** : Proficiency in Python, SQL, and one additional language (Scala/Java preferred). * **Big Data Tools** : Hands-on experience with Spark, Hadoop, or similar frameworks. * **Data Warehousing** : Strong knowledge of Redshift, Snowflake, BigQuery, or equivalent. * **Workflow Orchestration** : Experience with Airflow, Luigi, or similar scheduling tools. * **Version Control** : Familiarity with Git and CI/CD practices. * **Cloud Services** : Practical experience with AWS (Glue, EMR, S3), Azure Data Factory, or GCP Dataflow. * **Problem-Solving** : Strong analytical and troubleshooting skills with a product-focused mindset. **Preferred:** * Experience with **cloud technologies
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