Data Engineer Specialist

2 days ago

Hyderabad, Telangana, India beBeeDatabricks Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Effective Big Data Engineers drive business growth by leveraging cutting-edge technologies to process and analyze large datasets. We are seeking an experienced Databricks Developer to join our organization.

Key Responsibilities:
  • We design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and other relevant technologies.
  • Our team implements and optimizes Extract, Transform, Load (ETL) processes for data ingestion, transformation, and loading into various data storage systems.
  • We integrate and manage large datasets using cloud storage solutions like Azure Data Lake, Amazon S3, or Delta Lake.
  • Our focus is on optimizing data processing workflows for performance and scalability, ensuring efficient data processing and storage.
  • We collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
  • We implement and enforce data governance policies, access controls, and security protocols within the Databricks environment.
  • Data quality and integrity are ensured throughout the ETL processes and data pipelines.
  • We identify and resolve data-related issues, including performance bottlenecks and data quality problems.
Required Skills and Qualifications:
  • Apache Spark: Strong proficiency in Apache Spark for large-scale data processing and analysis.
  • Python: Expertise in Python for scripting, data manipulation, and automation.
  • Databricks Platform: Experience with the Databricks platform, including Databricks notebooks, workflows, and Delta Lake.
  • SQL: Proficiency in SQL for data querying, manipulation, and database management.
  • ETL: Strong understanding of ETL processes and best practices.
  • Data Modeling: Experience with data modeling and schema design.
  • Cloud Technologies: Familiarity with cloud platforms like Azure, AWS, or GCP.
  • Data Governance: Knowledge of data governance principles and practices.

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