- Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services. - Develop and manage workflows using Glue, Lambda, and Step Functions. - Build event-driven integrations using SNS, SQS, and related AWS
- Sr Dev - AWS Data Engineer with 12+ years of software development experience - Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue, EMR, Lambda, and Step Functions. Define data storage, transformation, and access
Lead design and governance of core KPIs, metric definitions, and semantic layers. Deliver complex analytical work using advanced SQL, including performance tuning on RDS/Oracle/Redshift and cost-conscious querying in Athena. Use Python to create reproducible analysis (pandas, statsmodels/scikit-learn
Data Analyst (3-5 years) Role Summary We are seeking a Data Analyst to turn data into insights by building dashboards, defining metrics, and conducting analyses on AWS-based datasets. You will work primarily with SQL on Redshift/Athena, Python for analysis
Dev - AWS Data EngineerRole Summary We are seeking a Dev - AWS Data Engineer with 8-12 years of software development experience, a solid IT background, and experience as an application developer on projects of similar scope and
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Required Qualifications Bachelors degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience may be considered. 5 years of experience developing and supporting data integration, ETLELT, or data engineering solutions. Demonstrated experience processing large
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Analytics Engineer – Data Engineering & Power BI We are looking for a hands-on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI-only role. Key Responsibilities Build, maintain, and enhance
The Data Engineering Lead is responsible for the technical leadership, engineering delivery, and quality of the Data Foundation platform. This role leads the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services that enable analytics, AI,
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Key Responsibilities Define analytics strategy, KPI frameworks, and data product standards across teams. Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena. Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities. Establish
Role Summary The Data Engineer is responsible for designing, developing, testing, and supporting the Data Foundation platforms data pipelines, data products, and data services. This role works closely with the Data Engineering Lead, Architecture Team, Service Owner, Platform Engineering Lead, and business stakeholders to
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Key Responsibilities Improving Efficiency & Productivity Execute technical training programs that improve line performance, throughput, and adherence to standardized work. Support reduction of training-related performance gaps impacting productivity and output. Ensure consistent deployment of training plans
Minimum qualifications: Bachelors degree in a technical field or equivalent practical experience. 1 year of experience with data analytics and cloud solutions. Experience with core data analytics and Big Data concepts (e.g., analytics warehousing, data transformation, ETL/ELT pipeline design, SQL, and
Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale — across every customer touchpoint. By combining human instinct with the speed and efficiency of AI,
Job Details: Position Summary The Lead IT Operations Developer provides advanced technical support, maintenance, and platform engineering for GCP-based data infrastructure and business applications. This role combines deep expertise in data security architecture, cloud platform operations, and application support
ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven financial services company that puts its members financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better
As the Strategic Growth Lead, you will lead the planning, execution, and performance governance of growth and productivity projects across all PPG SBUs in Latin America, ensuring seamless agreement on corporate strategy. Reporting directly to the President of