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Job Title


Senior Data Engineer/ Solution Architect


Company : Bluo Software India LLP


Location : Junagadh, Gujarat


Created : 2026-04-10


Job Type : Full Time


Job Description

Job Title: Senior Data Engineer / Solution ArchitectLocation: PAN IndiaExperience: 12+ yearsEmployment Type: Full-timeJob SummaryWe are looking for a highly experienced with Senior Data Engineer / Solution Architect 12+ years of expertise in building scalable, high-performance data platforms. This role requires strong technical leadership, architecture design capabilities, and hands-on experience with modern data ecosystems to drive enterprise-level data solutions.Key ResponsibilitiesArchitect, design, and implement scalable data platforms and pipelinesLead end-to-end development of ETL/ELT processes for large-scale data systemsDefine and enforce data engineering standards, best practices, and governanceDesign and optimize data warehouses, data lakes, and lakehouse architecturesWork closely with business stakeholders, data scientists, and analysts to deliver data solutionsLead performance tuning, cost optimization, and reliability improvementsDrive cloud data strategy and platform modernization initiativesMentor and guide data engineering teams; conduct code and design reviewsEnsure data security, compliance, and quality frameworks are implementedRequired Skills & QualificationsBachelor’s/Master’s degree in Computer Science, Engineering, or related field12+ years of experience in data engineering, data architecture, or related rolesExpert-level proficiency in Python, SQL, and/or ScalaStrong experience with big data technologies (Apache Spark, Hadoop, Databricks)Hands-on experience with cloud platforms (AWS, Azure, or GCP)Deep expertise in data warehousing (Snowflake, Redshift, BigQuery, Synapse)Strong experience with ETL tools (Airflow, Azure Data Factory, Informatica)Expertise in data modeling (dimensional, normalized, and lakehouse models)Experience designing real-time and batch data processing systemsPreferred QualificationsExperience with streaming technologies (Kafka, Kinesis, Spark Streaming)Exposure to AI/ML data pipelines and feature engineeringKnowledge of DevOps, CI/CD, and Infrastructure as Code (Terraform)Experience with containerization (Docker, Kubernetes)Prior experience in leading teams or managing projects