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.