Posted:9 hours ago|
Platform:
On-site
Full Time
Key Responsibilities: Able to develop , manage, design and performance on SQL and PL/SQL Skill set Design, develop, and maintain robust Databricks pipelines to support data processing and analytics. Implement and optimize Spark engine concepts for efficient data processing. Collaborate with business stakeholders to understand and translate business requirements into technical solutions. Utilize Informatica for data integration and ETL processes. Write complex SQL queries to extract, manipulate, and analyze data. Perform data analysis to support business decision-making and identify trends and insights. Ensure data quality and integrity across various data sources and platforms. Communicate effectively with cross-functional teams to deliver data solutions that meet business needs. Stay updated with the latest industry trends and technologies in data engineering and analytics. Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering or a related role. Strong expertise in Databricks and Spark engine concepts. Proficiency in Informatica for ETL processes. Advanced SQL skills for data extraction and analysis. Excellent analytical skills with the ability to interpret complex data sets. Strong communication skills to effectively collaborate with business stakeholders and technical teams. Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Knowledge of data warehousing concepts and tools is desirable.
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