Senior Data Specialist
Primary Skills
- MapReduce, HDFS, Spark – Pyspark, ETL Fundamentals, SQL, SQL (Basic + Advanced), Spark – Scala, Python, Data Warehousing, Hive, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Oozie
Job requirements
- • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- • Design, develop, and maintain data pipelines and ETL processes using Python, Hive, Spark, and other relevant technologies.
- • Good Hands on Exp with java
- • Minimum of 6+ years of experience as a Data Engineer, with proven expertise in Python, Hive, and Spark. • Advance SQL experience and working experience with Big data Hadoop .
- • Strong understanding of data engineering concepts, including data modelling, data integration, and data warehousing. • Hands-on experience with tools such as Apache Airflow.
- • Experience with Docker and containerization technologies is a plus.
- • Strong SQL skills and experience with relational databases, such as PostgreSQL, MySQL, or similar.
- • Familiarity with Apache Spark.
- • Knowledge of data processing frameworks such as Apache Beam, Apache Flink, or similar.
- • Strong problem-solving and troubleshooting skills, with attention to detail.
- • Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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