Manager - Information Technology, Data Engineering

Bajaj Broking

0 years

0 Lacs

pune maharashtra india

Posted:2 days ago| Platform:

Apply

Skills Required

technology data engineering design python pyspark aws scalability efficiency etl rest graphql kafka latency analytics code drive airflow docker kubernetes

Work Mode

On-site

Job Type

Full Time

Job Description

Design, build and maintain real-time and batch data pipelines using Python, PySpark, and AWS services.
Architect and manage cloud infrastructure with a focus on scalability, cost-efficiency, and performance (AWS Glue, Lambda, S3, Athena).
Implement and optimize ETL/ELT workflows, ensuring data quality and reliability.
Integrate data from diverse sources, including APIs (REST/GraphQL), into centralized data warehouses.
Work with streaming technologies like Kafka or Amazon Kinesis to handle high-throughput, low-latency data ingestion.
Lead data modeling efforts and contribute to the design of enterprise data warehouses and data lakes.
Collaborate with product, engineering, and analytics teams to identify data needs and translate them into scalable solutions.
Mentor junior data engineers and contribute to best practices, code reviews, and process improvements.
Drive innovation by evaluating and implementing emerging tools such as Airflow, dbt, Docker, Kubernetes, or MLOps platforms.

More Jobs at Bajaj Broking

Relationship Manager - HNI

Warangal, Telangana, India

Experience: Not specified

Salary: Not disclosed

Relationship Manager - HNI

Bhavnagar, Vijayawada, Mumbai (All Areas)

3 - 8 yrs

INR 3 - 8 Lacs

Relationship Manager - HNI

Bhubaneswar, Warangal, Raipur

3 - 8 yrs

INR 3 - 7 Lacs

Relationship Manager - HNI

Visakhapatnam, New Delhi, Gurugram

3.0 - 8.0 yrs

INR 3 - 8 Lacs

Relationship Manager - HNI

Prayagraj, Agra, Chennai

3.0 - 8.0 yrs

INR 3 - 8 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.