Data Engineer

Summary

Join a fast-growing team at 5X, a company revolutionizing data platform building. Assist in understanding and analyzing client business requirements to support effective data solutions. Collaborate in recommending appropriate modern data stack tools. Develop and maintain data pipelines, ETL processes, and data warehousing solutions. Create and optimize data models for client reporting and analytics. Work with cross-functional teams for seamless data integration and visualization. Participate in client communications to support project updates and address issues. Stay informed on industry best practices and emerging technologies.

Requirements

• 1-4 years of experience in data engineering/analytics, with a proven track record of successfully delivering end-to-end data solutions
• Proficiency in SQL and Python for data manipulation and analysis
• Proficiency in one of the BI tools: Power BI, Tableau, Looker, Preset/Superset, Metabase
• Strong problem-solving skills and the ability to adapt to new challenges
• Great communication skills and the ability to proactively engage with client capable of effective collaboration with team members and clients
• Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively

Responsibilities

• Assist in understanding and analyzing client's business requirements to support effective data solutions
• Collaborate in recommending appropriate modern data stack tools for clients based on their specific needs
• Develop and maintain data pipelines, ETL processes, and data warehousing solutions
• Create and optimize data models to support client reporting and analytics needs
• Work with cross-functional teams to ensure seamless data integration and visualization
• Participate in client communications to support project updates and address issues or concerns
• Stay informed on industry best practices and emerging technologies to assist in improving data engineering processes

Preferred Qualifications

• Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP, and AWS is a plus
• Experience with modern data stack tools (such as fivetran,dbt, census) is highly desirable
• Familiarity with Airflow, Databricks, and event tracking tools such as Heap, Segment, and Rudderstack is nice to have

Benefits

• 100% remote company - We love to give our employees the freedom to choose where they want to work from
• Wellness - We have monthly wellness programmes & workshops to make sure that all our employees are happy and satisfied
• Competitive compensation - We offer competitive compensation and meaningful equity
• Healthcare - We cover all employees’ health benefits and their dependents
• Parental leave - We value and support the family planning process and we provide up to 20 weeks of paid parental
• Offsite- 2 offsites a year to incredible destinations