Lead data Engineer

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Expertise in Data Architecture Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions

Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security

Expertise with Dimensional modeling techniques Star & Snowflake schemas modeling slowly changing dimensions and role playing dimensions dimensional hierarchies and data classification

Experiences in cloud native principals designs and deployments.

Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments

Expertise in Data Quality Data Profiling Data Governance Data Security Metadata Management and Data Archival

Data Migration strategies using appropriate tools

Drive delivery in a matrixed environment working with various internal IT partners

Demonstrated ability to work in a fast paced and changing environment with short deadlines interruptions and multiple tasks/projects occurring simultaneously

Must be able to work independently and have skills in planning strategy estimation scheduling

Strong problem solving influencing communication and presentation skills self-starter

Strong Hands-on programming skills in PySpark

Experience with data processing frameworks and platforms ( Kafka Beam Flink SAP HANA Hadoop Presto Tez Hive Spark etc.)

Hands-on experience with related/complementary open source software platforms and languages (e.g. Java Linux Python GIT Jenkins MLOps)

Hands-on experience with BI tools and reporting software (e.g. MS PowerBI and Cognos Reporting)

Expertise in Data Architecture Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track...