Recro | Lead Data Engineer
3 days ago
● Strong experience in Python, Pyspark with SQL
● Augmentation of existing ELT pipelines or building new pipelines from
scratch.
● Preferred DE cloud exp with Azure synapse, ADLS, ADF and Data bricks.
● If not worked with Azure then secondary cloud exp in AWS and Snowflake
will work.
● Big Data experience with the Hadoop ecosystem.
● Building data streaming pipelines in Kafka or similar tools.
● Someone who can own the design, development and deployment of data
engineering solutions at scale.
Responsibilities:
● Build scalable Data Engineering solutions to digitize and derive insights from unused
data.
● Develop ETL processes, BI streaming pipelines, and solutions for terabyte-scale data.
● Manage end-to-end deployment using CI/CD pipelines (e.g., Jenkins).
● Communicate with international clients and lead projects.
Technical Skills:
● Cloud Platforms: Azure (Data Lakes, Data Factory, Databricks).
● Tools & Technologies: Python, PySpark, SQL, Kafka, Hadoop.
Experience Required:
● 8-12 years in Data Engineering with expertise in Big Data, cloud solutions, and project
leadership.
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