Senior Enterprise Data Architect

2 weeks ago


Bengaluru, Karnataka, India beBeeData Full time ₹ 1,50,000 - ₹ 28,00,000

About the Role:

The ideal candidate will have extensive experience in designing and implementing data analytical ETL solutions using a variety of tools such as Informatica, Talend, SSIS, DataStage, and custom Python-based ETL frameworks.

  • Experience with programming skills like ETL using Hadoop, Python, SQL, Shell scripting, PySpark, Scoop, Scala is highly valued.
  • A strong background in data architecture including data modeling (OLTP & OLAP), data lake and warehouse architecture is essential.
  • Proficiency in the Big Data Ecosystem including Hive, Spark, HDFS, or working knowledge of Hadoop-based environments like Snowflake, Redshift, Azure Synapse, and BigQuery is required.
  • Familiarity with cloud platforms such as AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse, Blob), and GCP (BigQuery, Dataflow) is highly desirable.
  • Expertise in data integration and orchestration systems like Airflow, Apache NiFi, DBT, Kafka, and REST APIs is a plus.

Key Responsibilities:

  • Design and implement enterprise data warehouses and data marts.
  • Develop advanced expertise in SQL tuning, ETL performance tuning, partitioning strategies, and parallel processing for optimization.

Required Skills and Qualifications:

ETL Design

Informatica, Talend, SSIS, Data Stage, Python Based ETL framework

Hadoop, Python, SQL, Shell scripting, PySpark, Scoop, Scala



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