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Data Engineering Job Opening In Bengaluru – Now Hiring ScaleneWorks


Job description

Job Title: Middleware Engineer
Position: Data Engineer
Experience: 5-6yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.


Roles and Responsibilities


Data Engineer - 5-6 years experience.


Responsibilities
===============
Design, develop, and maintain data architectures, pipelines, and workflows for the collection, processing, storage, and retrieval of large volumes of structured and unstructured data from multiple sources.


Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges.


Build and maintain scalable data storage and retrieval systems (e.g., data lakes, data warehouses, databases), fault-tolerant, and high-performance data platforms on cloud infrastructure such as AWS, Azure, or Google Cloud Platform.


Develop and maintain ETL workflows, data pipelines, and data transformation processes to prepare data for machine learning and AI applications.


Implement and optimize distributed computing frameworks such as Hadoop, Spark, or Flink to support high-performance and scalable processing of large data sets.


Build and maintain monitoring, alerting, and logging systems to ensure the availability, reliability, and performance of data pipelines and data platforms.


Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability, reliability, and accuracy.


Requirements:
===============
Bachelor s or master s degree in computer science, engineering, or related field.


At least 5-6 years of experience in data engineering, with a strong background in machine learning, cloud computing and big data technologies.


Experience with at least one major cloud platform (AWS, Azure, GCP).


Proficiency in programming languages like Python, Java, and SQL.


Experience with distributed computing technologies such as Hadoop, Spark, and Kafka.


Familiarity with database technologies such as SQL, NoSQL, NewSQL.


Experience with data warehousing and ETL tools such as Redshift, Snowflake, or Airflow.


Strong problem-solving and analytical skills.


Excellent communication and teamwork skills.


Preferred qualification:
===============
Experience with DevOps practices and tools such as Docker, Kubernetes, or Ansible, Terraform.


Experience with data visualization tools such as Tableau, Superset, Power BI, or Plotly, D3.js.


Experience with stream processing frameworks such as Kafka, Pulsar or Kinesis.


Experience with data governance, data security, and compliance.


Experience with software engineering best practices and methodologies such as Agile or Scrum.


Must Have Skills
===============
data engineer with expertise in machine learning, cloud computing , and big data technologies.


Data Engineering Experince on multiple clouds one of them , preferably GCP
data lakes, data warehouses, databases
ETL workflows, data pipelines,data platforms
Hadoop, Spark, or Flink
Hadoop, Spark, and Kafka
SQL, NoSQL, NewSQL
Redshift, Snowflake, or Airflow

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Bengaluru, India, highlighting market share and opportunities for professionals in Data Engineering roles.

161896 Jobs in India
161896
12978 Jobs in Bengaluru
12978
Download Data Engineering Jobs Trends in Bengaluru and India

Are You Looking for Data Engineering Job?

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ScaleneWorks adheres to the cultural norms as outlined by Expertini.

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