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Specialist - Data Engineering

3 - 6 years

7 - 11 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a skilled Data Engineer with 3 to 6 years of experience in processing data pipelines using Databricks, PySpark, and SQL on Cloud distributions like AWS. The ideal candidate should have hands-on experience with Databricks, Spark, SQL, and AWS Cloud platform, especially S3, EMR, Databricks, Cloudera, etc.
Roles and Responsibility
  • Design and develop large-scale data pipelines using Databricks, Spark, and SQL.
  • Optimize data operations using Databricks and Python.
  • Develop solutions to meet business needs reflecting a clear understanding of the objectives, practices, and procedures of the corporation, department, and business unit.
  • Evaluate alternative risks and solutions before taking action.
  • Utilize all available resources efficiently.
  • Collaborate with cross-functional teams to achieve business goals.
  • Job
  • Experience working in projects involving data engineering and processing.
  • Proficiency in large-scale data operations using Databricks and overall comfort with Python.
  • Familiarity with AWS compute, storage, and IAM concepts.
  • Experience with S3 Data Lake as the storage tier.
  • ETL background with Talend or AWS Glue is a plus.
  • Cloud Warehouse experience with Snowflake is a huge plus.
  • Strong analytical and problem-solving skills.
  • Relevant experience with ETL methods and retrieving data from dimensional data models and data warehouses.
  • Strong experience with relational databases and data access methods, especially SQL.
  • Excellent collaboration and cross-functional leadership skills.
  • Excellent communication skills, both written and verbal.
  • Ability to manage multiple initiatives and priorities in a fast-paced, collaborative environment.
  • Ability to leverage data assets to respond to complex questions that require timely answers.
  • Working knowledge of migrating relational and dimensional databases on AWS Cloud platform.
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