Movate - Senior Data Engineer - Python/SQL/ETL in Bangalore, भारत

Role : We are looking for an experienced Data Engineering professional with strong expertise in designing, building, and owning scalable data platforms. The ideal candidate will have hands-on experience in data architecture, data modeling, ETL/ELT development, and production-grade data pipeline management, with a strong focus on data quality, auditability, and https://jobeax.com/link/ykNG5s9KG6FnnROO role requires expertise in Python and SQL along with experience handling finance, risk, or compliance-related data environments where accuracy, lineage, and traceability are https://jobeax.com/link/wpUWYjzUYU7uq0US Engineering & Architecture : - 6+ years of Data Engineering experience.- Strong understanding of data architecture and distributed data systems.- Experience making design decisions around scalability, partitioning, performance optimization, and data storage strategies.- Proven track record of owning production-grade data https://jobeax.com/link/0W4fM54fM2HCMlc4 : - Expert-level SQL skills.- Strong experience with Window Functions, Common Table Expressions (CTEs), CASE Statements, Query Optimization, Complex Joins, and Cross-dialect SQL (MySQL & PostgreSQL).Python : - Expert-level Python development.- Hands-on experience with Pandas, SQLAlchemy, Type Hints, Dataclasses, Object-Oriented Programming, and Class-based ETL/Data https://jobeax.com/link/j2Zhv12qMCd5yg77 Modeling : - Fact and Dimension Modeling, Star & Snowflake Schema Design, Normalization Techniques, Medallion Architecture, and Transaction Data https://jobeax.com/link/tJxxMC2OXwf3xs0A & DevOps : - Airflow or similar orchestrators, Git Version Control, and CI/CD https://jobeax.com/link/vytDoWPg4DMUyyRx to Have : - Apache Spark, Hive, Hadoop Ecosystem, and Large-scale Data Processing https://jobeax.com/link/OfTNakiwtq51n9YB Responsibilities : - Design and implement end-to-end data pipelines using modern ETL/ELT frameworks to ensure high data availability and integrity for internal and external stakeholders.- Optimize existing data warehouse architectures to improve query performance and reduce latency for complex analytical workloads.- Collaborate with software engineering teams to integrate data ingestion services into existing product platforms, ensuring seamless data flow across the enterprise.- Implement data governance and security best practices to maintain compliance and protect sensitive information across all data assets.- Mentor junior engineers through code reviews and technical guidance to foster a culture of engineering excellence and continuous improvement. (ref:hirist.tech)