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Data Engineer

MITS GLOBAL CONSULTING PRIVATE LIMITED

Remote · remote · Posted 40d ago

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Not disclosed8–10 yrsfulltimeRemote

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Section · 01

About this role

Description

We are looking for a skilled Data Engineer to join our team in India. The ideal candidate will have 8-10 years of experience in designing and implementing data solutions that enable data-driven decision-making across the organization.

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
Ensure data integrity and quality through rigorous testing and validation procedures.
Optimize data storage and retrieval for performance and scalability.
Monitor and troubleshoot data pipeline issues to ensure smooth operation.

Skills and Qualifications

Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
Strong programming skills in Python or Java for data manipulation and ETL processes.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
Understanding of data warehousing concepts and experience with tools like Redshift or Snowflake.

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Section · 02

Skills

DockerApache SparkApache Kafkaamazon web servicesETL ProcessesPythonSQLData WarehousingData ModelingBig Data

Section · Company

About MITS GLOBAL CONSULTING

MITS GLOBAL CONSULTING PRIVATE LIMITED

Recruitment

219

employees

Mumbai

₹12.3L PA avg

Avg at MITS GLOBAL CONSULTING

About

MITS Globaltech is an IT services company that offers consulting, staffing, business intelligence, and software development services.

Industries

ConsultingInformation TechnologySoftwareStaffing Agency

Employee ratings

10 reviews

4.5/ 5

Culture

4.5

Career growth

4.2

Work-life

4.6

Employees rate it well for

Work-Life Balance45Overall Company45

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Responsibilities

Design, develop, and maintain scalable data pipelines and ETL processes.

Collaborate with data scientists and analysts to understand data requirements and deliver solutions.

Ensure data integrity and quality through rigorous testing and validation procedures.

Optimize data storage and retrieval for performance and scalability.

Monitor and troubleshoot data pipeline issues to ensure smooth operation.

Skills and Qualifications

Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).

Strong programming skills in Python or Java for data manipulation and ETL processes.

Experience with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Understanding of data warehousing concepts and experience with tools like Redshift or Snowflake.