Senior Data Engineer

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources • Build and optimize data models and processing workflows to support BI, analytics, and reporting needs • Develop monitoring and alerting solutions to ensure pipeline performance and data quality • Build dashboards, reports, and datasets in Domo • Integrate data from external APIs and third-party systems such as Salesforce • Collaborate with Software Engineering, Architecture, Product, Analytics, and IT teams • Translate business requirements into robust technical solutions • Conduct code reviews and provide feedback to engineering team members • Mentor other data engineers and contribute to onboarding efforts • Participate in Agile ceremonies including standups, retrospectives, and planning

🎯 Requirements

• 5+ years of experience developing and maintaining ELT/ETL systems • Strong proficiency in SQL, including advanced queries, data modeling, stored procedures, and query optimization • Hands-on experience with Snowflake or BigQuery • Proficiency in Python • Experience with AWS cloud-native services: Kinesis, Lambda, S3, SQS, and CDK • Experience building and maintaining data pipelines from diverse sources • Strong analytical thinking, problem-solving, and debugging skills • Strong written and verbal English communication skills • Comfortable working in a fast-paced, Agile environment • Nice to have: experience creating datasets, dataflows, and dashboards in Domo • Nice to have: experience building integrations with SaaS APIs such as Salesforce • Nice to have: AWS Data Analytics Certification or Snowflake Data Engineering Certification • Nice to have: experience with MongoDB or DynamoDB