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Role - Data Engineer
Location - Mumbai, MH
Interview Mode: 2 Round Virtual and 1 Face 2 Face
Skills:
Hadoop, Spark, Informatica, Snowflake
Required Experience -
7+ Years of experience in Hadoop, Spark, Informatica and Snowflake skills
• Strong knowledge and experience with Big Data/Hadoop platform.
• Proficiency in developing and managing Unix/Linux shell scripts, and job scheduling tools like Airflow, Autosys, or Ctrl-M.
• Strong interpersonal skills and a professional approach to collaboration and communication with global team.
• Strong analytical, problem-solving, and troubleshooting skills.
• Strong ability to overcome complex technical challenges.
• Strong verbal and written communication skills.
Desired Skills:
• Familiarity with banking and finance technology solutions is a significant advantage.
Job ID: 148677563
Skills:
Cobol, Sql, Unix, Blaze, TRIAD, wTMS
Skills:
snowflake , Gcp, Data Modeling, Data Migration, Data Warehousing, Azure, Sql, Python, AWS, ELT, Etl
Skills:
Sql, Google Cloud, ELT, Apache Airflow, Nosql, Jenkins, Git, Docker, Azure, Python, AWS, Etl
Skills:
snowflake , BigQuery, Pyspark, Kafka, Json, Avro, Redshift, Sql, ELT, Azure Synapse, Kinesis, Spark, Databricks, Python, Etl, Parquet, Airflow, dbt, Event Hubs, Microsoft Fabric
Skills:
Spark SQL, Performance Tuning, Kafka, Azure Databricks, Data Warehousing Concepts, Query Optimization, Data Modelling, Governance and Access management, Spark Structured Streaming, Window functions, cluster configuration, Medallion Architecture, Data management strategies, DataFrames, caching strategies, Unity Catalog, Foreign catalog, Databricks Autoloader, Delta Lake
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