Job Title

We are seeking mid-level Data Engineers with strong hands-on experience in Snowflake, Databricks, and AWS-based data engineering. Ideal candidates should be proactive, initiative-driven, and strong self-learners, capable of independently driving data solutions in a fast-paced environment.Technical Skill Set (Updated with AWS)Core TechnologiesSnowflakeSnowflake SQL, performance tuning, micro-partitioningSnowpipe, Streams, Tasks, Resource MonitorsELT pipeline development & warehouse optimizationDatabricksPySpark/Scala for scalable data transformationsETL/ELT pipeline development on DatabricksDelta Lake with strong understanding of Medallion Architecture (Bronze–Silver–Gold)Databricks Workflows for orchestration & automationDelta Live Tables, notebooks, cluster and job managementProgramming LanguagesPython (preferred) or ScalaAdvanced SQL (analytical functions, windowing, complex joins)AWS Cloud SkillsExperience working with AWS storage and compute services:S3, EC2, Lambda, Glue (nice to have)IAM fundamentals (roles, policies)Familiarity with AWS networking and security conceptsData Pipelines & OrchestrationEnd-to-end ETL/ELT pipeline development using DatabricksHandling structured & semi-structured datasets (Parquet, JSON, Avro)Knowledge of Azure Data Factory (conceptual understanding only) – nice to haveData Architecture & Engineering ConceptsStrong understanding of Medallion ArchitectureData modeling (star/snowflake)Batch + streaming ingestion patternsCI/CD for data pipelines (Git-based workflows)Soft SkillsHigh ownership, proactive mindset, and self-drivenStrong learning aptitude and ability to pick up new tools quicklyClear communication and problem-solving abilitiesAbility to work independently with minimal supervision