Responsibilities

Design, develop, and maintain scalable data pipelines using technologies such as AWS, Azure Data Lake, and Hadoop.
Implement ETL processes to extract, transform, and load data from various sources into data warehouses.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Optimize database performance through effective database design using Microsoft SQL Server, Oracle, and other relational databases.
Utilize big data frameworks like Apache Hive and Spark for processing large datasets efficiently.
Maintain documentation of data architecture, processes, and workflows to ensure knowledge sharing within the team.
Participate in Agile development processes to deliver high-quality solutions on time.

Qualifications

Proficiency in programming languages such as Java and Python for data manipulation and analysis tasks.
Strong experience with big data technologies including Hadoop, Spark, Informatica, Talend, and Looker.
Solid understanding of SQL for querying relational databases and experience with database design principles.
Familiarity with linked data concepts and analytics methodologies is a plus.
Excellent analytical skills with the ability to troubleshoot complex issues effectively.
Strong communication skills to collaborate with technical and non-technical stakeholders alike.
A degree in Computer Science, Information Technology, or a related field is preferred.

Job Types: Full-time, Part-time

Pay: $90,436.34 - $108,912.58 per year

Benefits:

Application Question(s):

Work Location: In person

Benda Infotech

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