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Data Engineer - Hybrid

Tranzeal · Bengaluru, KA · Hybrid

Weak hiring record · median 69 days open

100100

Hiring signal

Actively hiring

Posted today · still listed on the employer's own board · How we score

All reasons
  • 53% of this employer's openings are over 60 days old

In its favour

  • Posted today
  • Still listed on the employer's own board

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Data Engineer - Hybrid at Tranzeal. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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