Big data developer

13 hours ago

Bangalore, India Impetus Full time

Big Data Developer Experience- 3 to 12 years Locations- Indore, Noida, Hyderabad, Bangalore, Gurgaon Job Description We are looking for a Big Data Developer to design and oversee the implementation of large-scale data solutions, lead a talented team, and ensure the efficient processing and analysis of massive datasets. Roles & Responsibilities Key Responsibilities Architect Data Solutions: Design and implement scalable, high-performance big data architectures using industry-leading tools and technologies. Lead Development Efforts: Oversee the end-to-end development of big data workflows, pipelines, and applications. Mentor Team Members: Provide technical guidance, conduct code reviews, and foster a culture of continuous improvement within the team. Optimize Performance: Identify bottlenecks in data processing workflows and implement strategies for optimization. Collaborate: Work closely with data scientists, engineers, analysts, and business stakeholders to understand requirements and deliver solutions. Data Governance: Ensure compliance with data privacy regulations and best practices in data management. Innovate and Stay Current: Research emerging big data technologies and incorporate them into the organization's tech stack as appropriate. Required Skills and Qualifications Big Data Expertise: Experience working with big data technologies like Apache Spark, Hadoop, Hive, and HBase. Programming Skills: Advanced proficiency in Python, Scala, or Java, with experience in functional programming. ETL and Data Pipelines: Extensive experience in building and optimizing ETL pipelines for large-scale data ingestion and transformation. Data Management: Expertise in handling structured and unstructured data in formats like Parquet, Avro, ORC, JSON, and CSV. Performance Tuning: Proven ability to optimize distributed computing jobs for resource and cost efficiency. Database Knowledge: Proficiency in SQL and No SQL databases (e.g., Postgre SQL, Cassandra, Mongo DB). Dev Ops Integration: Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Leadership: Demonstrated ability to lead teams, manage projects, and mentor junior developers.

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