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About the role
Job Responsibilities: In-depth knowledge of Data Lake, Lakehouse, and Data Mesh architectures Experience building any data platforms using Databricks / Delta Lake (on-prem) / Snowflake. Proficient in ingesting structured, semi-structured, and unstructured data. Strong hands-on experience with Python, PySpark, SQL and APIs for data ingestion and transformation. Experience with ETL / ELT pipelines, streaming (Kafka, Kinesis), and batch processing (Spark, Glue, DBT). Strong experience working with Parquet, JSON, CSV files, sensor data, and optimizing large-scale analytical dataset. Collaborate with team members to design and operationalize data lake solutions. Excellent problem-solving, communication, and team collaboration skills. Job Requirements: B Tech in Computer Science or Master of Computer Application 6-8 years of relevant experience Expertise in data modeling techniques including star/snowflake schemas and 3NF Proficiency in Python programming Hands-on experience with Kafka, Databricks, and Snowflakes Strong understanding of data governance, lineage, data cataloging, and compliance (GDPR, HIPAA) Willingness to learn and adapt to new data engineering technologies6-8 years of relevant experience .
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