Job Role: Senior Data Engineer- Implementation & ModernizationLocation: HyderabadExperience: 8+ YearsJob Role SummaryThe Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & ModernizationJob Role SummaryThe Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing data engineering pipelines, working closely with the Cloud Solution Architects who defines overall architectural design. The Data Engineer is expected to deeply understand approved solution designs, data architectures, and modeling patterns to translate them into effective and secure data pipelines. The ideal candidate brings strong SQL and Python skills, strong collaboration skills, and must be able to integrate solutions with a variety of technologies. The data engineer should be self-driven, able to work with minimum supervision and have extensive experience in Data Modeling, Data Warehousing, and ETL processing in a cloud environment.Duties & ResponsibilitiesImplement high-performing, scalable, data ingestion, transformation, and curation pipelines on cloud platforms, aligned to approved architectural designs and standardsApply best practices in data modeling, data structures, and curated data layers to support business use casesPartner with Cloud Solution Architects to understand solution designs and ensure accurate, efficient implementation, ensuring that all approved development and deployment procedures are followed.Lead code review sessions,



providing code assessmentAutomate data workflows and pipeline operations using orchestration and scheduling toolsMonitor pipeline health, proactively identify issues, and troubleshoot data quality or performance problemsOptimize data processing workloads for performance, reliability, and cost efficiencyQualifications RequiredBachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent professional experience5+ years of hand-on data engineering experience in cloud environmentsAdvanced SQL expertise and strong Python programming skillsExtensive hands-on experience developing end-to-end ELT/ETL pipelinesDemonstrated experience developing high-performance, large scale systemsProven experiences in Snowflake and DatabricksStrong experience with data pipeline workflow automation and orchestration frameworks (Preferred: Dagster, DBT)Experience working in controlled development, testing and production environmentsFamiliarity with Git-based version control and CI/CD practicesApplication of Relational Database Principles and Advanced FeaturesExcellent written and verbal communication skillsStrong problem-solving skills and ability to debug complex systemsAbility to work independently while collaborating across cross-functional teamsExperience using Waterfall and Agile-based methodologies within a software development functionPreferred qualificationsCloud certifications in AWS, GCP, Azure, Snowflake, or DatabricksIndustry expertise in marketing environments and related use casesExperience implementing medallion or layered data architecturesFamiliarity with observability frameworks and data reliability engineering

📌 Senior Data Engineer (Hyderabad)
🏢 Anblicks
📍 Hyderabad