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Senior Consultant Data Analytics

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We are looking for a Data Engineer with 3–4 years of experience in data engineering, data integration, or a related role.

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.


Requirements:

  • 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.

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