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Job Summary:
As a Senior Data Engineer you will be responsible for creating effective technological solutions for work with big data. They are also responsible for managing a team of specialists in their field and related IT professions. In addition, their roles include quality control of the work performed.
Position â
Senior Data Engineer- 5 to 7 Years
Technical Skills:
Programming Languages: Proficiency in languages like Python, SQL, and possibly Scala or Java.
Database Technologies: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Big Data Technologies: Knowledge of distributed computing frameworks such as Hadoop, Spark, and Apache Flink.
Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift, Google BigQuery, or Snowflake.
ETL Tools: Experience with ETL tools like Apache NiFi, Apache Airflow, Talend, or Informatica.
Data Modeling: Understanding of data modelling principles and experience with tools like ERwin, Lucidchart, or DbSchema.
Version Control: Proficient in version control systems like Git for managing codebase changes.
Cloud Platforms: Experience working with cloud platforms like AWS, Azure, or Google Cloud Platform for deploying and managing data solutions.
Data Visualization: Basic understanding of data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
Designing, building, and maintaining scalable and robust data pipelines for ingesting, processing, and transforming large volumes of data.
Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business objectives.
Optimizing and fine-tuning data pipelines for performance, reliability, and efficiency.
Implementing data security and privacy measures to ensure compliance with regulations like GDPR or CCPA.
Troubleshooting data-related issues and providing timely resolution.
Participating in code reviews, documentation, and knowledge sharing sessions within the team.
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