Kaleidofin - Lead Data Engineer - ETL/PySpark

2 weeks ago


Bengaluru, India Kaleidofin Full time

What youll do ?- You will take on the role of technical expert and a lead member of our Engineering team.- Designing and building data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native AWS, NOSQL, SQL etc.- Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.- Designing, building, and operationalizing large-scale enterprise data solutions using Hadoop based technologies along with AWS, Spark, Hive, & Data Lake, using Hive, PySpark and Python Programming.- Develop efficient software code for multiple use cases leveraging Python and Big Data technologies for various use cases built on the platform.- Responsible to Ingest data from files, streams and databases and process the data with Hadoop,Scala, SQL/NOSQL Database, Spark, ML, IoT.- Develop programs in Scala and Python as part of data cleaning and processing.- It includes data modelling, data ingestion, transformation, data consumption patterns and optimizing complex queries, creating efficient UDFs to extend the functionalities.- You will be involved in product feature development and will be working in close partnership with other engineering teams.- You will be responsible for mentoring other team members and ensuring high availability platform and stability for batch and stream processing systems.Who you need to be ?- Experience - Min. 6 Years.- Bachelor's degree in computer science or computing-related discipline from premier institutes.- The candidate should have data processing ability (ETL techniques) using have scripting experience.- Native Data engineer with 3 to 8 years of hands-on experience with SQL and NOSQL databases such as HBase, Cassandra or MongoDB.- Extensive 2+ years experience working with Hadoop and related processing frameworks such as Spark, Hive, Kafka etc.- Experience working with REST and SOAP based APIs to extract data for data pipelines.- Experience with cloud-native ETL languages/frameworks (Scala, Python, Databricks, AWS Glue).- Experience in working with Real time data streams and Kafka Platform.- Working knowledge with workflow orchestration tools like Apache Airflow design and deploy DAGs.- Location : Bangalore. (ref:hirist.tech)



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