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Job Overview

Data Engineer – Big Data Platforms

Job Summary:

We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have expertise in Big Data platforms and a strong background in designing, developing, and maintaining data pipelines. You will be responsible for ensuring data quality, optimizing data workflows, and working with distributed data systems. This role requires a deep understanding of modern data engineering workflows, ETL processes, and large-scale data processing.

Key Responsibilities:

Data Engineering:

Design, develop, and maintain scalable and efficient data pipelines to support business needs.Implement ETL/ELT processes to extract, transform, and load data from various sources into Big Data platforms.Optimize data workflows for performance, scalability, and reliability.

Big Data Platforms:

Work with Big Data technologies such as Hadoop, Spark, Hive, or HDFS to process and analyze large datasets.Develop distributed data processing pipelines using Spark (PySpark/Scala) and MapReduce.Optimize Big Data workflows for performance and scalability.

Data Integration:

Integrate data from multiple sources, including APIs, flat files, and third-party systems.Collaborate with data analysts, data scientists, and business teams to understand data requirements.

Data Quality and Governance:

Ensure data accuracy, consistency, and integrity across systems.Implement data validation and error-handling mechanisms.

Collaboration and Documentation:

Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.Document data pipelines, data designs, and processes for future reference.

Required Skills and Qualifications:

Technical Expertise:Expertise in Big Data platforms:Experience with Hadoop, Spark (PySpark/Scala), Hive, or HDFS for distributed data processing.Proficiency in SQL and database design principles.Experience with ETL/ELT tools (e.g., Informatica, Talend, or Python-based ETL frameworks).Programming Skills:Proficiency in scripting languages such as Python, Scala, or Shell scripting for data processing and automation.Data Governance:Knowledge of data quality, data governance, and data security best practices.Soft Skills:Strong problem-solving and analytical skills.Excellent communication and collaboration skills.

Ability to work in a fast-paced, dynamic environment.

Qualifications:

7-9 years of relevant experienceExperience in systems analysis and programming of software applicationsExperience in managing and implementing successful projectsWorking knowledge of consulting/project management techniques/methodsAbility to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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