Senior Data Engineer (PySpark)
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About the Role
Education and Experience Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. 8+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
Key Skills for This Role
Full Job Posting
Education And Experience
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 8+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
- Client Specific Requirement: 1.
- The Data Engineer role involves acquiring requirements, conducting EDA, ingesting required datasets, and transforming data using Big-data technologies & Feature Engineering techniques for machine learning models. 2.
- Key tasks include building high-performance, secure, and scalable data pipelines, collaborating with Analytics Delivery Leads, Data scientists and other teams in an Agile environment, and communicating stakeholders effectively. 3.
- The position requires a degree in a relevant field, at least 8-10 years of experience in data engineering and ML pipelines, and proficiency in technologies like Python, Spark (including expertise in optimization techniques), Hadoop, SQL, and Git. 4.
- Should be good with Python as well.
- Education and Experience
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 7+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
Technical Skills
- PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
- Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
- Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
- Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
- Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
- Scripting and Automation: Strong scripting skills in Linux.
- Good at Data Modelling as well. Soft Skills
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication abilities.
- Ability to work independently and collaboratively in a team environment. Attention to detail and commitment to data quality.
- Interested candidates please share resume to jobs.bfs2@valuelabs.com
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