Lead Bigdata Engineer - VP

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Job Overview

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Deep hands-on experience with PySpark for data processing, ETL (Extract, Transform, Load) operations, data manipulation, and building distributed computing solutions on large datasets.
• Proficiency in designing and building robust data pipelines, data ingestion, transformation, and processing workflows
• Solid understanding of data modeling principles, database design, and strong SQL skills for data querying and analysis.
• Ability to analyze data, identify patterns, uncover insights, and translate business needs into actionable data solutions.
• Leading and mentoring a team of data engineers or analysts, fostering best practices, and ensuring the delivery of high-quality data products.
• Working closely with product partners and business analysts, to understand requirements and deliver impactful analytical solutions.

Qualifications:

To be successful in this role, you should meet the following requirements:

• 8+ years of experience in handling distributed / big data projects.
• Proficiency in Pyspark, Linux scripting, SQL and Bigdata tools.
• Technology stack – Pyspark, ETL, Unix Shell Scripting, Python, Spark, SQL, Impala, Hive
• Strong exposure in interpretation of business requirements from a technical perspective. Design, develop and implement IT solutions that fulfill business users' requirements and conform to a high level of quality standard.
• Sound problem-solving skills and attention to detail.
• Strong communication, presentation and team collaboration skills.
• Knowledge of Automation and DevOps practices.
• Familiarity with agile development methodologies using Jira

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree