Key Responsibilities:

Design and develop scalable and robust big data solutions to support our data-driven initiatives.
Work closely with cross-functional teams to understand their data needs and design solutions that meet their requirements.
Develop and maintain data pipelines to ingest, process, and store large volumes of data from various sources.
Optimize and tune existing data pipelines for performance and efficiency.
Design and implement data models and schemas to support data analytics and reporting.
Develop and maintain ETL jobs to transform data from various sources into usable formats.
Monitor and troubleshoot data pipelines to ensure data accuracy and integrity.
Collaborate with data scientists and analysts to develop data-driven insights and visualizations.
Stay updated with the latest big data technologies and tools and make recommendations for their adoption.
Mentor and guide junior developers in the team and assist them in solving technical challenges.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of experience in developing big data solutions.
Strong experience with big data technologies such as Hadoop, Spark, and Kafka.
Proficiency in programming languages such as Java, Python, or Scala.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with SQL and NoSQL databases.
Strong understanding of data modeling and database design principles.
Experience with data warehousing and ETL tools.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

We offer a competitive salary, comprehensive benefits package, and a collaborative and inclusive work culture. If you are passionate about big data and have a strong desire to continuously learn and grow, we would love to hear from you. Apply now and take the first step towards an exciting and rewarding career with us.

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