Data Engineer

Job opening at Bengaluru

Location

Bengaluru

Address

Bengaluru

Employment

Full Time

Qualification

Any Graduate

Payment

1600000 to 2000000

Date Posted

2025 Mar,03

HR

Shruti Kaushik

Contact

shrutikaushik@white-force.com

Mobile

8103516707


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!!



Job requirements

  • Experience: 3 to 9 Year.
  • Education : Any Graduate
  • Specilization : b.tech...
  • Skills :
  • Industry Type : IT-Software / Software Services
  • Status : Not Disclose.

Company Name : Celebal Technologies

Website

About Company

Celebal Technologies is a premier software services company in the field of Data Science, Big Data and Enterprise Cloud. Celebal Technologies helps you to discover the competitive advantage by employing intelligent data solutions using cutting-edge technology solutions that can bring massive value to your organization. The core offerings are around "Data to Intelligence", wherein we leverage data Read more