Big Data Engineer Female Graduate Jobs in Bangalore

Role: Bigdata Developer - Scala SparkExp: 5+ YrsMode of Work: WFO All 5 daysLocation: Chennai/Bangalore/PuneInterview: Any one Level F2FJob Description: Total IT / development experience of 3+ years Experience in Spark (Scala-Spark ) developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB Deep knowledge of Scala-Spark libraries to develop and debug complex data engineering challenges Experience in developing sustainable data driven solutions with current new generation data technologies to drive our business and technology strategies Exposure to deploying on Cloud platforms At least 2 years of development experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark-Scala At least 2 years of development experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS At least 2 years of developing applications in Agile with Monitoring, Build Tools, Version Control, Unit Test, Unix Shell Scripting, TDD, CI/CD, Change Management to support DevOps

Design, develop, and maintain scalable data processing pipelines using Kafka, PySpark, Python/Scala, and Spark.Work extensively with the Kafka and Hadoop ecosystem, including HDFS, Hive, and other related technologies.Write efficient SQL queries for data extraction, transformation, and analysis.Implement and manage Kafka streams for real-time data processing.Utilize scheduling tools to automate data workflows and processes.

Job TitleTeam Lead / Sr. DeveloperLocation : Any Location Skills:Advanced working SQL/NoSQL knowledge and experience working with relational/nonrelational databases.Expert in PythonExperience with big data tools: Hadoop, Spark, Kafka, Nifi etc.Experience with relational SQL (Oracle & PosgreSQL) and NoSQL (HDFS Hive, HBase, Cassandra) databases.Experience with data pipeline and workflow management tools like Airflow, etc.Experience building and optimizing big data data pipelines, architectures and data sets.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.A successful history of manipulating, processing and extracting value from large disconnected datasets.Working knowledge of message queuing, stream processing, and highly scalable big data data stores.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.