Senior Data Engineer Databricks

RITWIK IT SERVICES PRIVATE LIMITED; Bengaluru; Híbrido; INR 2.500.000 - 4.000.000; Jornada completa

Descripción de la vacante

RITWIK IT SERVICES PRIVATE LIMITED in Bengaluru seeks a Senior Data Engineer with deep Databricks, Spark, Kafka and Snowflake experience. You will architect scalable data platforms and lead end-to-end batch and streaming pipelines, shaping analytics and AI/ML use cases.

The role requires hands-on expertise in AWS-based security, data ingestion and orchestration, and a strong foundation in data warehousing and ETL/ELT design.

Formación

• 12–16 years of experience in data engineering.
• Strong Databricks and Spark expertise.
• Hands-on PySpark, Python and SQL development.
• Experience with Kafka and real-time streaming.
• Expertise in Snowflake and Snowflake SQL.
• Experience designing large-scale batch and streaming pipelines.
• Strong AWS cloud architecture knowledge (IAM, security, networking).
• Experience with REST/GraphQL APIs, data ingestion and orchestration.
• Understanding of data warehousing, modeling, Star/Snowflake schemas and ETL/ELT.

Responsabilidades

• Architect and develop scalable enterprise data platforms.
• Lead end-to-end batch and real-time data pipeline development.
• Optimize Spark, Databricks and Snowflake workloads.
• Design low-latency streaming solutions using Kafka.
• Provide technical leadership, architecture governance and mentorship.
• Build data platforms supporting AI/ML, LLM and advanced analytics use cases.

Conocimientos

Databricks

Spark

PySpark

Python

SQL

Kafka

Streaming

Snowflake

Snowflake SQL

AWS IAM

REST/GraphQL

Data Warehousing

ETL/ELT

Educación

B.Tech / M.Tech

Herramientas

Databricks

Snowflake

Kafka

AWS

REST/GraphQL APIs

PySpark

SQL

Python

Descripción del empleo

Hiring: Senior Data Engineer Databricks

Experience: 12–16 Years
Location: Bengaluru
Shift: General Shift

Mandatory Skills:

• Strong expertise in Databricks and Apache Spark.
• Hands‑on experience with PySpark, Python and SQL development.
• Strong experience in Kafka and real‑time stream processing.
• Expertise in Snowflake and Snowflake SQL.
• Experience designing and developing large‑scale batch and streaming data pipelines.
• Strong AWS cloud architecture knowledge, including IAM, security and networking.
• Experience with REST/GraphQL APIs, data ingestion and orchestration.
• Strong understanding of data warehousing, data modelling, Star/Snowflake schemas and ETL/ELT.

Role Responsibilities:

• Architect and develop scalable enterprise data platforms.
• Lead end‑to‑end batch and real‑time data pipeline development.
• Optimize Spark, Databricks and Snowflake workloads.
• Design low‑latency streaming solutions using Kafka.
• Provide technical leadership, architecture governance and mentorship.
• Build data platforms supporting AI/ML, LLM and advanced analytics use cases.

Education: B.Tech / M.Tech

Looking for senior‑level Data Engineering professionals with strong hands‑on Databricks, Spark, Kafka and Snowflake experience.