
Senior Data Engineer – Snowflake
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Colombia.
• Accountable for the expansion and enhancement of our data and data pipeline infrastructure.
• Streamlining data flow and collection processes for cross-functional teams.
• Assist our product owners, product analysts, data analysts, and data scientists with data-related initiatives.
• Ensure that the architecture for optimal data delivery is maintained consistently throughout ongoing projects.
• Collaborate with business stakeholders to clarify requirements and connect them to solutions, which includes setting up prototypes and involving multiple parties in design discussions.
• Develop frameworks for data collection, extraction, and transformation for both structured and unstructured data.
• Build and sustain data infrastructure systems (e.g., data warehouses), including data access points.
• Prepare and manipulate data using a variety of integration and pipeline tools, including but not limited to Talend, SQL, Snowflake, Kafka, and Azure Data Factory.
• Create efficient loading processes that include logging, exception handling, notifications for support, and overall operational visibility.
• Structure data into formats that enhance reuse and facilitate efficient delivery to business and analytics teams as well as system applications.
• Integrate data across data lakes, data warehouses, and systems applications to ensure consistent information delivery across the enterprise.
• Responsible for effective architecture and system design.
• Develop and refine the data service layer, engaging the team to assemble components for a premier customer offering.
• A Bachelor’s degree is required; a Master’s degree is a plus, in Software Engineering, Computer Science, or equivalent experience in a technology or business setting.
• At least 7 years of experience in developing and implementing structured work processes in data engineering.
• Minimum of 7 years of experience in developing integration solutions with data integration tools (e.g., Talend, Azure Data Factory).
• A minimum of 3 years of experience with real-time data streaming tools such as Kafka or similar technologies.
• Familiarity with cloud platforms including Azure, AWS, or GCP.
• Experience with data warehousing platforms like Snowflake or Databricks.
• High proficiency in SQL, Python, and other programming languages.
• Strong expertise in data management, governance, data design, and database architecture.
• Documented success in manipulating, processing, and deriving value from large, disparate datasets.
• Competence in data modeling and data architecture with experience in WhereScape RED/3D being an asset.
• Familiarity with big data tools such as Hadoop, Spark, and Kafka.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Proficient in data pipeline and workflow management tools like Azkaban, Luigi, and Airflow.
• Knowledge of AWS cloud services including EC2, EMR, RDS, and Redshift.
• Experience with stream-processing systems such as Storm and Spark-Streaming.
• Proficiency in object-oriented/function scripting languages like Python, Java, C++, Scala, etc.
• Highly skilled in data modeling, data integrations, data orchestration, and supporting methodologies.
• Proven ability to lead large-scale projects or significant project phases, effectively communicating progress and strategies with both technical and non-technical peers and leaders.
• Highly skilled in multiple programming languages and coding practices.
• Excellent capability to design and engineer moderately complex enterprise solutions.
• Familiar with message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational abilities.
• Enjoy the flexibility and freedom to work from anywhere.
• Receive compensation in USD that aligns with your expertise.
• Recharge with dedicated paid time off for relaxation.
• Propel your career forward with fully funded international certifications.
• Access coworking spaces globally whenever you need a professional environment.
• Enhance your English skills while broadening your international network.
• Participate in engaging activities that connect our global team.
• Feel valued with personalized gifts and a thoughtful welcome kit.
• Help grow our community and earn rewards through our referral program.
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