• Design and implement automated validation frameworks to ensure data integrity, accuracy, and compliance across all migration cycles • Work closely with business stakeholders, functional leads, and the data conversion team to understand data requirements • Identify data anomalies and provide expert recommendations on optimal reporting designs • Reconcile transformed data against legacy sources to ensure completeness and accuracy • Develop dashboards and readiness metrics that provide real‑time insight into migration status • Support data validation, quality assurance activities, and defect resolution • Assist with UAT planning, execution, and stakeholder review sessions

• Own and manage the full sales cycle, from prospecting and pipeline development to negotiation and closing • Develop and execute strategic sales plans to drive adoption of cloud data platforms • Build and maintain strong relationships with key stakeholders, including C-level executives • Identify client needs and position Snowflake and Databricks solutions to deliver measurable business value • Collaborate with technical and delivery teams to ensure successful implementation and client satisfaction • Monitor market trends, competitive landscape, and emerging technologies in the data and analytics space

Data Engineer What You’ll Do: - Design and build Spark data ETL pipelines on AWS data platform. - Collaborate with cross functional teams such as data scientists, fraud, marketing and other business stakeholders to understand their data needs and deliver reliable solutions. - Optimize data infrastructure - Design and maintain robust data infrastructure by using modern data platform architecture. - Ensure data quality and reliability. - Innovate and follow best practices. - Ensure operational excellence of the data platform, including monitoring, incident response, performance optimization, and continuous improvement. Who We’re Looking For (“Must Haves”): - Professional experience working in data warehousing, data architecture, and/or data engineering environments, especially using spark, hadoop, hive etc with solid understanding of streaming pipelines. - Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) - Good understanding of databases - You have built large-scale data products and understand the tradeoffs made when building these features - You have a deep understanding of system design, data structures, and algorithms - You have an excellent knowledge of distributed computing frameworks such as Hadoop MapReduce, Spark - You have a strong knowledge of following AWS infrastructure - EMR, S3, Lambda, Redshift etc - You have strong understanding of data quality, governance - You are a team player, self-driven, highly motivated individual who loves to learn new things Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

• Work closely with data science and software engineering teammates to act as a strategic thought partner • Solve emerging data needs • Ensure that our platform continues to deliver trustworthy and useful analysis results • Set and improve the standards for experiment analysis across Netflix • Design, build, operate, and maintain Spark data pipelines that process billions of allocation events per day • Expose a silver layer in Iceberg • Develop new tooling and pipeline automation to meet emerging experimentation-related business needs