- Understand business requirements to develop and implement solutions that address business needs and adhere to big data architectural guidelines.
- Develop datadriven solutions to complex business challenges while working with data scientists and business consultants.
- Architect and create data views from big data stores to feed into analytics solutions and visualization layers.
- Troubleshoot, and debug when data is found to be inaccurate.
- Root cause analysis of data issues and coming up with stable longterm solutions.
- The candidate must display excellent written and verbal skills with demonstrated interpersonal and organizational abilities.
- Advanced working SQL knowledge, expertise using relational databases / working familiarity with a variety of databases (i.e., MySQL, Postgres, etc.).
- Expert in building and optimizing big data data pipelines, architectures, and data sets.
- Excellent experience in data processing using Python.
- Good Understanding of Big data tools and ecosystems (e.g., Hadoop, Spark, etc.).
- Significant knowledge of using ETL development tools like data bricks/airflow.
- Strong technical fundamentals to quickly learn nextgen tools and start working on the same.
- Good working knowledge of Microsoft Office (Word, Excel, PowerPoint, Outlook).
- Ability to plan, prioritize, multitask, and manage own workload to tight deadlines.
- Proactive and creative approach to problemsolving the ability to 'think outside the box'.
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Data Engineer - Bengaluru, India - Zyoin group
Description
Responsibilities :
Requirements :
Mandatory :
SQL, Python, Databricks, Spark.
Good to have :
MongoDB, Dataiku DSS, Pyspark.
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