Lead Data Engineer

Openkyber

Role: Senior Data Engineer Location: Dallas, TX (Onsite)

Responsibilities

Design and Implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc.

Collaborate with cross-functional teams to understand data requirements and provide effective solutions.

Implement real-time data ingestion and processing solutions

Develop and maintain ETL/ELT processes to support data analytics and reporting.

Implement best practices for data security, integrity, and quality.

Developing data integration and migration strategies to move data from legacy systems to Cloud

Monitoring and troubleshooting the performance and availability of the data systems and implementing strategies to improve their reliability and scalability

Managing security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.

Requirements

Bachelor's in Engineering / Master's degree in Computer Science, Information Systems or related field

Minimum of 5 - 9 years of experience in data engineering.

Experience with databases and data warehouse implementations (Preferred Snowflake, PostGreSQL)

Strong SQL skills with experience in writing and optimising complex queries

Working knowledge of Data warehousing, Data Governance, Data Quality and Data Architecture

Experience in Data Modelling

Ability to handle large scale structured and unstructured data from internal and third-party sources

Hands On Experience in Python, Pyspark, Kafka

Experience with data engineering tools/technologies in Google Cloud Platform Cloud environment

Proficiency in designing and maintaining scalable data architectures

Experience with CICD Tools like GitHub

For applications and inquiries, contact:View email address on us.fitly.work

Apply

Vacancy posted 2 days ago

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