Senior Data Engineer – Snowflake

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Pearster

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🎯 Recruiter

🤝 B2B

🏢 Enterprise

Recruitment • B2B • Enterprise

Pearster is a global IT staffing and managed services firm that connects experienced software and infrastructure professionals with companies seeking to scale engineering, data, security, and IT operations teams. They offer staff augmentation, dedicated teams, and managed services with a full-stack talent pool spanning cloud, DevOps, data & AI, product development, network, and security, emphasizing culture fit, time-zone alignment, and transparent pricing.

📋 Description

• Responsible for expanding and optimizing our data and data pipeline architecture. • Optimizing data flow and collection for cross functional teams. • Support our product owners, product analysts, data analysts and data scientists on data initiatives. • Ensure optimal data delivery architecture is consistent throughout ongoing work. • Engage with business stakeholders to establish clear needs and links to solutions, including setting up prototypes, and involving multiple parties in design sessions. • Create data collection, extraction, and transformation frameworks for structured and unstructured data. • Develop and maintain data infrastructure systems (e.g. data warehouses) including data access points. • Prepare and manipulate data using a variety of data integration and data pipeline tools including, but not limited to, Talend, SQL, Snowflake, Kafka, Azure Data Factory. • Create efficient load processes including logging and handling of exceptions, notification to support, and overall visibility operations. • Organize data into formats and structures that optimize reuse and efficient delivery to businesses and analytics teams and system applications. • Integrate data across data lake, data warehouse and systems applications to ensure the consistent delivery of information across the enterprise. • Accountable for efficient architecture and systems design. • Build and evolve the data service layer and engages the team to bring together components for a best-in-class customer offering.

🎯 Requirements

• Bachelor’s degree required, Master’s an asset, in Software Engineering, Computer Science, or equivalent work experience in a Technology or business environment. • Minimum of 7 years of experience working in developing and following structured work processes in data engineering. • Minimum of 7 years of experience in integration solutions development with data integration tools (e.g., Talend, Azure Data Factory). • Minimum of 3 years of experience with real-time data streaming tools like Kafka, or any similar tools. • Experience with cloud platforms including Azure, AWS, or GCP. • Experience with data warehousing platforms such as Snowflake or Databricks. • High proficiency in SQL, Python, and other programming languages. • Highly proficient in data management, governance, data design and database architecture. • Proven track record of manipulating, processing, and extracting value from large, disconnected datasets. • Proficient in data modelling and data architecture with experience using WhereScape RED/3D an asset. • Experience with big data tools: Hadoop, Spark, Kafka, etc. • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. • Experience with AWS cloud services: EC2, EMR, RDS, Redshift. • Experience with stream-processing systems: Storm, Spark-Streaming, etc. • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. • Highly proficient in data modelling, data integrations, data orchestration, and supporting methodologies. • Highly proficient in leading large-scale projects or significant project steps and communicating progress/approach with technical/non-technical peers/clients and leaders. • Highly proficient in multiple programming languages and coding. • Excellent ability to design and engineer moderately complex enterprise solutions. • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. • Strong project management and organizational skills.

🏖️ Benefits

• Work from anywhere with true flexibility and freedom. • Earn in USD with compensation that matches your expertise. • Recharge confidently with dedicated paid time off. • Advance your career with fully covered international certifications. • Access coworking spaces worldwide whenever you want a professional setup. • Strengthen your English and expand your global reach. • Connect and have fun with activities that unite our international team. • Feel appreciated with personalized gifts and a thoughtful welcome kit. • Grow our community and earn through our referral program.