Big Data Engineer

Responsibilities:

Design and implement scalable data pipelines to ingest, process, and analyze large volumes of structured and unstructured data from various sources.
Develop and optimize data storage solutions, including data warehouses, data lakes, and NoSQL databases, to support efficient data retrieval and analysis.
Implement data processing frameworks and tools such as Apache Hadoop, Spark, Kafka, and Flink to enable real-time and batch data processing.
Collaborate with data scientists and analysts to understand data requirements and develop solutions that enable advanced analytics, machine learning, and reporting.
Ensure data quality, integrity, and security by implementing best practices for data governance, metadata management, and data lineage.
Monitor and troubleshoot data pipelines and infrastructure to ensure reliability, performance, and scalability.
Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources and transform it into usable formats.
Stay current with emerging technologies and trends in big data and cloud computing, and evaluate their applicability to enhance our data engineering capabilities.
Document data architectures, pipelines, and processes to ensure clear communication and knowledge sharing across the team.

Strong programming skills in Java, Python, or Scala.Strong understanding of data modelling, data warehousing, and ETL processes.

Min 4 to Max 6yrs of Relevant exp.Strong understanding of Big Data technologies and their architectures, including Hadoop, Spark, and NoSQL databases.

Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote