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Data Engineer: Expertise in Python Language is MUST. SQL (should be able to write complex SQL Queries) is MUST Data Lake Development experience. Orchestration (Apache Airflow is preferred). Spark and Hive: Optimization of Spark/PySpark and Hive apps is MUST Trino/(AWS Athena) (Good to have) Snowflake (good to have). Data Quality (good to have). File Storage (S3 is good to have)
Amakshar Technologies is an ISO 9001:2015-certified IT and workforce solutions company founded in 2015. It offers services in cloud computing, data engineering, AI, and staffing solutions across various industries. Known for its agile delivery and innovation-driven approach, Amakshar helps businesses streamline operations and scale efficiently
Job ID: 120322541
Skills:
Unix, S3, RDS, Aws Services, PostgreSQL, Informatica, Redshift, Kinesis, MySQL, Databricks, Sql Scripts, Oracle, Python, Etl, Step Functions, Microsoft GitHub co-pilot, Matillion, Glue, Low code No code tools
Skills:
data engineering , Java, Database Management Systems, Python, Data Storage, Data Processing, ETL processes, data integration techniques, cloud platforms, data warehousing solutions
Skills:
Spark SQL, Github, Pyspark, Data Modeling, Sql, Azure Data Factory, Databricks, Python, MLlib, data quality management, Azure DevOps Pipelines, data cataloguing, GitHub Actions, ETL processing, lakehouse concepts, Azure Data Lake Gen2
Skills:
Power Bi, Tableau, Databricks, Sql, Python, R, Azara, Google Looker Studio
Skills:
snowflake , Github, Pl Sql, Tableau, Angular, React, Docker, Python, AWS, Power Bi, Vue, AI ML, Sql, Jenkins, Gcp, FastAPI, Restful Apis, Azure, Kubernetes, cloud platforms, UI frameworks, CI CD tools, Spinnaker, data modelling techniques
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