Senior Data Engineer

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:

• 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.