Data Engineer - Cyber Security and Data Analytics

Tasks :

Data Pipeline Development : Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes.

Relational Database Management : Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes.

API Integration : Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications.

Data Modeling and Architecture : Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation.

Data Analysis and Insights : Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers.

Performance Optimization : Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times.

Data Quality Assurance : Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem.

Data Security and Compliance : Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information.

Collaboration and Communication : Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively.

Skills :

Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. Advanced degree / experience is preferred.

Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS.

Solid understanding of data modeling, database design principles, and data warehousing concepts.

Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks.

Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management.

Experience with Jenkins for automated build, test, and deployment processes.

Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently.

Excellent communication and collaboration skills to work effectively in a team-oriented environment.

A passion for data-driven decision-making and a keen eye for detail.

Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans."