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    AWS Data Engineer - Bengaluru, India - Quess Corp Ltd

    Quess Corp Ltd
    Quess Corp Ltd Bengaluru, India

    2 days ago

    Default job background
    Description

    Exp Range : years.

    Primary Skills :

    - Combination of Data Engineering (60%) and Database (40%) Developer.

    - 3-4 years relevant exp in Data Engineering in AWS & DataBases in MongoDB, SQL Server.

    - data engineering and DB developer.

    - IDBI Good to have.

    Shift Timing : 9AM to 6PM.

    Working Model ( WFH / WFO / Hybrid )

    Skills Required :

    -Data Engineering (60%) : Proficiency in designing, building, and maintaining data pipelines and ETL processes.

    Experience with data ingestion, transformation, and storage on cloud platforms, especially AWS. Strong understanding of data warehousing concepts and methodologies.

    Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Expertise in data modeling and schema design for optimized performance and scalability.

    Ability to troubleshoot and optimize data pipelines for efficiency and reliability.

    Knowledge of distributed computing and parallel processing frameworks.

    Database Development (40%) :

    Experience in developing and optimizing databases, with a focus on MongoDB and SQL Server.

    Proficiency in writing complex SQL queries for data extraction, manipulation, and analysis.

    Understanding of database design principles, normalization, and indexing.

    Ability to fine-tune database performance and optimize query execution plans.

    Familiarity with database administration tasks such as backup and recovery, security, and monitoring. Experience with NoSQL databases like MongoDB, including data modeling and query optimization.

    Knowledge of best practices for database versioning, migrations, and change management.

    Job Description :

    As an AWS Data Engineer, you will play a critical role in designing, implementing, and optimizing data solutions on the AWS platform.

    Your responsibilities will primarily revolve around data engineering tasks, with a focus on building robust data pipelines, ETL processes, and data warehousing solutions. Additionally, you will be involved in database development activities, particularly in optimizing MongoDB and SQL Server databases for performance and scalability.

    Key Responsibilities :

    Data Engineering :

    Design, develop, and maintain data pipelines for ingesting, transforming, and storing large volumes of data on AWS. Implement ETL processes to extract data from various sources, transform it according to business requirements, and load it into target systems.

    Collaborate with cross-functional teams to understand data requirements and design efficient data models and schemas. Troubleshoot and optimize data pipelines for performance, reliability, and scalability. Implement best practices for data governance, security, and compliance.

    Database Development : Develop and optimize MongoDB and SQL Server databases to support application requirements. Write and optimize complex SQL queries for data retrieval, manipulation, and analysis.

    Design and implement database schemas, ensuring data integrity, normalization, and efficient indexing. Perform database administration tasks such as backup and recovery, user management, and performance monitoring.

    Work closely with software developers to integrate database components into applications and ensure optimal performance.

    Qualifications :

    Bachelor's or Master's degree in Computer Science, Engineering, or related field.

    6-10 years of experience in data engineering and database development roles.

    At least 3-4 years of relevant experience in data engineering on AWS and database development with MongoDB and SQL Server.

    Strong programming skills in languages such as Python, Java, or Scala.

    Experience with AWS services such as S3, Glue, Redshift, EMR, and Lambda.

    Excellent problem-solving and analytical skills.

    Strong communication and collaboration abilities.

    )
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