
Data Engineer - Hybrid
Tranzeal · Bengaluru, KA · Hybrid
Weak hiring record · median 69 days open
All reasons
- 53% of this employer's openings are over 60 days old
In its favour
- Posted today
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Data Engineer - Hybrid
Job Title
Data Engineer - Hybrid
Location
Eco Space Centre, Bellandur Bengaluru
Experience
7+
Salary
22 - 25 LPA
Work Mode
3 days work from Office
Interview
1 round with CTS, followed by Client Interview
We are looking for immediate joiners or candidates with a notice period of 0–15 days for an Individual Contributor (IC) role based in Bengaluru. Candidates should have strong expertise in Advanced SQL and PySpark. The role follows a hybrid work model, requiring employees to work from the office three days a week. Candidates must be currently based in Bengaluru.
Job Description
This an IC role with skills advanced SQL, Pyspark and SQL, to be based out of Bangalore
Roles & Responsibilities
- Collaborate with cross-functional teams to understand requirements and translate them into effective technical solutions.
- Design and implement scalable, high-performance data processing pipelines using Python, SQL, and Apache Spark.
- Manage AWS resources effectively, ensuring security and efficiency through AWS IAM, Amazon S3, and AWS Glue ETL.
- Optimize data storage and retrieval processes, enhancing system performance and reliability.
- Develop and maintain robust ETL processes, integrating AWS Glue ETL for seamless data transformation and loading.
- Ensure data integrity and quality, implementing best practices in data management and processing.
- Participate in the entire Product Lifecycle Management, contributing to the development, deployment, and maintenance of products.
- Stay abreast of the latest AWS features and services, incorporating them into solutions to meet evolving business needs.
- Implement risk management strategies, safeguarding data and systems against potential threats.
- Contribute to the continuous improvement of our development and deployment processes, embracing AWS DevOps principles.
-Qualifications
- Proven experience with SQL, Python, Apache Spark ( Pyspark), AWS IAM, Amazon S3, is mandatory.
- Good to have knowledge on data modelling skills
- Strong communication and collaboration skills, with the ability to work effectively in a team.
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