
Data Pipeline Specialist
5 days ago
Big Data Expertise Job Description
We seek a highly skilled Big Data Expert to create and maintain scalable data systems.
- Job Summary:
- • Design, develop, and implement large-scale data pipelines using Apache Spark and Python.
- • Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
- • Ensure data accuracy, quality, and security by implementing robust data governance practices.
Key Responsibilities:
- Design and Develop Data Pipelines:
- • Use Apache Spark to design and implement efficient data pipelines that meet business requirements.
- • Implement data processing techniques such as data transformation, aggregation, and filtering.
- Collaborate with Cross-Functional Teams:
- • Work closely with data scientists, analysts, and product managers to understand business requirements and deliver high-quality solutions.
- • Communicate technical concepts to non-technical stakeholders and provide guidance on data-driven decision-making.
- Ensure Data Quality and Security:
- • Implement robust data governance practices to ensure data accuracy, completeness, and integrity.
- • Develop and enforce data security policies and procedures to protect sensitive information.
Requirements:
- Experience:
- • 5-8 years of experience in designing and implementing large-scale data systems.
- • Strong hands-on experience with Apache Spark (RDDs, DataFrames, Spark SQL, PySpark).
- Skill Set:
- • Deep understanding of Spark cluster architecture and performance tuning.
- • Proficiency in AWS ecosystem: Glue, S3, Lambda, Redshift, CloudWatch.
- • Solid expertise in Snowflake: Snowpipe, Streams & Tasks, Time Travel, and data sharing.
- • Strong programming skills in Python and SQL.
- • Experience with CI/CD tools and infrastructure-as-code (Terraform or CloudFormation).
What We Offer:
- Opportunities for Growth:
- • Opportunities to work on cutting-edge projects and technologies.
- • Professional growth and development opportunities.
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