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Data Engineer

Data Engineer

White Forcebangalore, India
18 hours ago
Job description

Job description

Position - Data Engineer

Experience Level : Mid-Senior Level

Experience Required : 3+ Years

Overview :

We are seeking a highly skilled and motivated Data Engineer to join our team. In this role, you

will collaborate with cross-functional teams to design, build, and maintain scalable data

platforms and solutions on the AWS Cloud. You will leverage your expertise in data engineering

tools and technologies to deliver next-generation application data platforms and optimize

current implementations. The ideal candidate should have a strong background in Databricks,

Spark, and Big Data ecosystems, along with experience in data warehousing, including

datamarts and data modeling.

Key Responsibilities :

  • Develop and maintain scalable and high-performance data pipelines using AWS Glue, EMR,

Databricks, and Spark.

  • Design and implement robust ETL processes and frameworks to integrate, process, and analyze
  • large datasets.

  • Build and optimize data models for structured and semi-structured data to support reporting,
  • analytics, and machine learning workflows.

  • Utilize Python, PySpark, and SQL to develop and optimize data transformation logic.
  • Collaborate with stakeholders to understand business requirements and translate them into
  • technical solutions.

  • Implement best practices for data governance, security, and performance optimization on AWS
  • Cloud platforms.

  • Work with Big Data ecosystems, including Hadoop, Hive, Sqoop, and HDFS, to process and
  • manage large datasets.

  • Design and develop streaming data solutions using Spark Streaming, Kinesis, and Firehose.
  • Contribute to the architecture and strategy for modernizing and scaling data platforms.
  • Required Skills & Experience :

  • 3-5 years of hands-on experience as a Data Engineer.
  • Proficiency in Python, SQL, and PySpark.
  • Strong knowledge of Big Data ecosystems, including Hadoop, Hive, Sqoop, HDFS, and HBase.
  • Expertise in the Spark ecosystem : Spark Core, Spark Streaming, Spark SQL, and Databricks.
  • Solid experience with AWS cloud services, including EMR, EC2 / EKS, Lambda, Glue, and S3.
  • In-depth understanding of data modeling, data warehousing methodologies, and ETL
  • processes.

  • Familiarity with data governance, quality, and security principles in cloud environments.
  • Excellent problem-solving skills and ability to work independently or collaboratively in a fastpaced environment.
  • Please revert me back with your confirmation mail and updated CV!!

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