Data Engineer Sr Associate
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Python Proficiency: Strong understanding of Python, with practical coding experience
AWS: Comprehensive knowledge of AWS services and their applications
Airflow: creating and managing Airflow DAG scheduling.
Unix & SQL: Solid command of Unix commands, shell scripting, and writing efficient SQL scripts
Analytical & Troubleshooting Skills: Exceptional ability to analyze data and resolve complex issues.
Development Tasks: Proven capability to execute a variety of development activities with efficiency
Insurance Domain Knowledge: Familiarity with the Insurance sector is highly advantageous.
Production Data Management: Significant experience in managing and processing production data
Work Schedule Flexibility: Open to working in any shift, including 24/7 support, as require Role & responsibilities
Job ID: 113104343
Skills:
data engineering , Aws Cloud, Tableau, Data Analytics, Apache, Sql, Python, Airflow
Skills:
Eda, Power Bi, Pyspark, Performance Tuning, Data Warehousing, Apache Spark, Big Data Technologies, Tableau, Sparksql, Data Modeling, Sql, Seaborn, Matplotlib, Etl Tools, Databricks, Data Integration, Python, GenAI, workflow orchestration, R packages, LLM technology, machine learning model training, feature engineering
Skills:
change data capture , T-sql, Sql, Azure Data Factory, Flat Files, Azure Synapse, Csv, Sftp, file-based integration, incremental load
