Big Data Specialist

2 weeks ago

bangalore, India Tavant Full time
With 24+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Fintech, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific.
Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions is routinely rated high by the industry.
Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. Furthermore, we do not focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We will create a world of opportunities for you.
Job Details
Job Title : Big Data Engineer
Location: Bangalore / Noida / Hyderabad
Quick joiners needed
Job Responsibilities:
Design and implement scalable and efficient data processing pipelines using Apache Spark and Java .
Develop APIs and services for data ingestion, transformation, and aggregation to support analytics and machine learning models.
Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver innovative data solutions.
Optimize Spark jobs for performance and cost efficiency across large datasets.
Ensure high data quality and integrity by implementing robust testing and validation practices.
Lead the adoption of best practices in code quality, CI/CD, and DevOps within the data engineering team.
Mentor junior developers and contribute to knowledge sharing and team development.
Qualification:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proficient in Java programming and familiar with the Scala programming language.
Strong experience in designing and implementing scalable data processing pipelines using Apache Spark and Java.
Solid understanding of big data technologies and ecosystems (HDFS, YARN, Kafka, HBase, etc.).
Familiarity with DevOps tools and practices, including Docker, Kubernetes, Jenkins, and Git.
Excellent problem-solving skills, with the ability to tackle challenges in large-scale data environments.
Strong communication and collaboration skills, with the ability to work effectively in a team and interface with technical and non-technical stakeholders.
What We Offer:
A dynamic and challenging work environment.
Opportunities for personal and professional growth.

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