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Senior Data Engineer

Senior Data Engineer

Career Guideline

8 - 13 years

25 - 40 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

Pyspark Azure Databricks Cloud Technologies Snowflake Etl Development Data Engineering Github Data Pipeline Development Unix Shell Scripting SQL Apache Spark Azure Repo PLSQL Oracle Azure Devops

Work Mode

Work from Office

Job Type

Full Time

Job Description

*Must-Have Skills:* * Azure Databricks / PySpark hands-on * SQL/PL-SQL advanced level * Snowflake – 2+ years * Spark/Data pipeline development – 2+ years * Azure Repos / GitHub, Azure DevOps * Unix Shell Scripting * Cloud technology experience *Key Responsibilities:* 1. *Design, build, and manage data pipelines using Azure Databricks, PySpark, and Snowflake. 2. *Analyze and resolve production issues (Tier 2 support with weekend/on-call rotation). 3. *Write and optimize complex SQL/PL-SQL queries. 4. *Collaborate on low-level and high-level design for data solutions. 5. *Document all project deliverables and support deployment. Good to Have: Knowledge of Oracle, Qlik Replicate, GoldenGate, Hadoop Job scheduler tools like Control-M or Airflow Behavioral: Strong problem-solving & communication skills

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Senior Data Engineer