Data Engineer

Job Description: Snowflake & Segment Data IntegrationSpecialistEmpowering Seamless Data Infrastructure for Marketing& Product AnalyticsAre you passionate about data infrastructure and eager toempower analytics teams to turn information into insights? Join our dynamicorganization as a Snowflake & Segment Data Integration Specialist. In thispivotal role, you'll be at the intersection of product data, marketinganalytics, and data engineering—ensuring the seamless flow and integrity ofdata that drives our business forward.Key Responsibilities·       Snowflake Instance Management: Set up,configure, and manage between three to four new Snowflake data warehouseinstances per quarter, tailored to support emerging products and analyticsrequirements.·       Segment Integration: Establish and maintainreliable connections between Segment and Snowflake, ensuring that data flow isaccurate, timely, and consistent across all integrated products.·       Feature Exploration and Adoption: Proactivelylearn about new and existing Segment features. Assess, test, and implementthese features to continuously improve the quality and utility of data beingfunneled into Snowflake.·       Collaboration with Data Engineers: Work closelywith two data engineers based in Dallas, who support the Marketing team'sSegment/Snowflake needs. Share updates, insights, and lessons learned, andalign on initial setup, schema design, and best practices to deliver a unifiedanalytics environment.·       Team Meetings and Communication: Attend one ortwo meetings each week, primarily in the US time zone. These may include theweekly analytics team meeting, ad hoc meetings with product engineers, or otherstrategic discussions as needed.Primary Duties & Tasks·       Coordinate with product managers and analyticsleads during the design and rollout of new Snowflake instances, ensuring eachinstance meets product -specific and organizational requirements.·       Evaluate business needs and recommend optimalschema designs and data models in Snowflake, in partnership with data engineersand analytics stakeholders.·       Develop and maintain automated pipelines foringesting, transforming, and validating data from Segment into Snowflake.·       Monitor data pipelines for latency, errors, anddata quality issues, responding swiftly to resolve problems and minimizedowntime.·       Document setup processes, data flows, and schemadefinitions to ensure ongoing maintainability and knowledge sharing acrossteams.·       Stay current on developments in Segment andSnowflake platforms, exploring pilot programs or beta features that couldprovide analytic advantages.·       Propose and implement new processes tostreamline data onboarding for future products, reducing manual effort andincreasing reliability.·       Participate in code reviews and contribute tothe documentation and refinement of engineering standards related to dataintegration.·       Communicate findings, risks, and opportunitiesclearly to both technical and non -technical stakeholders.Required Skills & Qualifications·       Technical Expertise: Demonstrated experiencesetting up and managing Snowflake data warehouse environments, including userroles, security, and advanced data modeling.·       Segment Mastery: Familiarity with Segment (orsimilar CDP tools), including source and destination setup, event tracking, andfeature utilization to ensure high data fidelity.·       Data Engineering Fundamentals: Proficiency inSQL, data transformation, and ETL pipeline management. Understanding of dataquality best practices and troubleshooting methodologies.·       Collaboration & Communication: Provenability to collaborate with remote engineers and cross -functional teams, and tocommunicate complex technical concepts with clarity and confidence.·       Documentation & Process: Strong skills indocumenting procedures, data schemas, and integration standards for a technicalaudience.·       Project Management: Organized anddetail -oriented, able to manage multiple parallel product launches andintegration tasks efficiently.Preferred Qualifications·       Bachelor's or Master's degree in ComputerScience, Data Science, Engineering, or related field.·       Experience working in a fast -paced,product -centric environment and supporting marketing analytics teams.·       Understanding of privacy requirements (such asGDPR or CCPA) as they relate to data collection and warehousing.·       Familiarity with additional data pipeline tools(e.g., dbt, Airflow) and cloud environments (AWS, GCP, or Azure).·       Experience with business intelligence platformsand data visualization tools is a plus.Working Environment & Schedule·       This role is based out of Hyderabad, with theexpectation of regular virtual collaboration with team members in Dallas andacross the US. Availability for one or two key meetings perweek in US time zones is required. Flexibility to accommodate the needs ofproduct engineers and analytics teams is a must.