Senior Consultant Data Analytics
2 weeks ago
Responsibilities
- Develop scalable ETL processes using Spark, Hadoop, and other big data technologies.
- Design, test, and maintain pipelines that transform raw data into structured formats for analysis and reporting.
- Utilize tools such as Hive, HBase, MapReduce, and Spark for both real-time and batch data processing.
- Manage and optimize relational and NoSQL databases (including Vertica) and write complex SQL queries for data manipulation.
- Automate data workflows and routine processes through shell scripting and related automation tools.
- Enhance performance, scalability, and cost efficiency across data storage, retrieval, and transformation layers.
- Partner with data analysts, data scientists, and business teams to deliver reliable, high-quality data solutions.
- Monitor ETL processes for data accuracy, troubleshoot issues, and ensure data integrity across environments.
- Maintain detailed documentation of pipelines, workflows, and processes for transparency and continuity.
- 3–4 years of experience in data engineering, data integration, or a similar role.
- Strong hands-on experience with the Hadoop ecosystem (HDFS, Hive, HBase, MapReduce).
- Proficiency in Apache Spark for large-scale data processing.
- Advanced SQL skills and experience working with Vertica and other relational/NoSQL databases.
- Familiarity with ETL processes, data integration, and transformation best practices.
- Proficiency in shell scripting for automating data workflows.
- Experience with data pipeline orchestration tools (e.g., Airflow, Oozie, or similar) is a plus.
- Strong problem-solving and troubleshooting skills with high attention to detail.
- Ability to work both independently and collaboratively within cross-functional teams.
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