We are seeking a highly skilled and motivated Big Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, developing, and optimizing scalable data solutions using the Hadoop ecosystem, with a strong focus on PySpark and Hive. This role is crucial for building robust ETL pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives.
Key ResponsibilitiesDesign, develop, and maintain efficient and scalable Big Data solutions using PySpark, Apache Hive, and Hadoop ecosystem tools (e.g., Sqoop).
Should have strong Python knowledge
Implement and optimize ETL (Extract, Transform, Load) processes and data warehousing solutions, including Fact, Dimension, and Slowly Changing Dimensions (SCD-2).
Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
Optimize Big Data workflows, including Spark job tuning and Hive query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
Perform rigorous unit testing and validation of data pipelines and transformations.
Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.
Big Data Technologies: Demonstrated proficiency with Apache Hadoop, Apache Hive, and PySpark for data processing and analysis.
Data Warehousing & Modeling: Strong understanding and practical experience with data warehousing concepts, dimensional modeling, and SCD-2 implementation.
ETL Development: Proven experience in designing and developing ETL pipelines; familiarity with various ETL tools is an advantage.
Database & SQL: Advanced SQL knowledge, including complex joins, subqueries, and performance tuning of SQL queries.
Scripting: Proficient in shell scripting for automation of batch processes.
DevOps & CI/CD: Experience with CI/CD tools such as Bitbucket and Jenkins.
BI Tools: Familiarity with business intelligence (BI) reporting tools like Tableau.
Experience and/or certifications with major cloud platforms and their Big Data services (e.g., AWS, Azure Databricks, Google Cloud).
Advanced knowledge of Unix shell scripting for system administration and automation.
Excellent critical thinking and problem-solving skills with a strong analytical mindset.
Ability to work independently and collaboratively in a fast-paced environment.
Strong communication skills to articulate technical concepts and solutions effectively.
Education:
Bachelor’s degree/University degree or equivalent experience
If you are a passionate Big Data Engineer looking to make a significant impact, we encourage you to apply!
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:
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Job Family:
Applications Development------------------------------------------------------
Time Type:
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Other Relevant Skills
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