
Big Data Engineer
6 days ago
We're looking for a skilled and detail-oriented Big Data Engineer to join a growing data team. In this role, you'll be responsible for building and maintaining robust data pipelines, enabling the transformation of large datasets into actionable insights. You'll work closely with cross-functional teams to support the design, development, and optimization of scalable data workflows.
Key Responsibilities:
- Develop and maintain ETL workflows using Talend, ensuring efficient data extraction, transformation, and loading from various sources.
- Integrate data from systems such as Cloudera, PostgreSQL, and SQL Server into target environments.
- Design and implement database schemas and structures, ensuring data accuracy and reliability.
- Collaborate with business and technical stakeholders to understand source data systems and provide optimized solutions.
- Write clean and efficient code in SQL, Python, and other scripting tools for data transformation.
- Improve and maintain data quality by implementing robust validation and cleaning procedures.
- Participate in performance tuning, troubleshooting, and ongoing support of big data processes.
What We're Looking For:
- At least 3-5 years proven experience with Talend ETL, Python, and Apache Spark.
- Solid understanding of big data tools and platforms, especially Hadoop ecosystem components like Hive, Impala, and HDFS.
- Familiarity with data warehousing concepts and data modeling techniques.
- Strong analytical skills and the ability to translate complex data requirements into scalable technical solutions.
- Experience with visualization or analytics tools is a plus.
- Excellent problem-solving abilities and a proactive, team-oriented mind
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