About the Role
Job Title: Big Data Engineer
Experience: 5-8 years
We are looking for a Data Engineer with in-depth experience in working with Cloudera, Informatica, and Alteryx to design, implement, and manage robust data engineering solutions. In this technical role, you will work with large-scale data processing systems, build high-performance ETL pipelines, and ensure the smooth integration of data from multiple sources. This position requires proficiency in big data technologies, data integration platforms, and automation tools, along with a robust ability to optimize workflows for performance and scalability.
Key Responsibilities:
1.Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration).
2.Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.




3.Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.
4.Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).
5.Create Alteryx workflows to automate data preparation, cleansing, and transformation, making data available for downstream analysis or reporting.
6.Leverage Alteryx's native connectors to integrate with external data sources (e.g., SQL databases, APIs, cloud services).
7.Optimize the Informatica and Alteryx workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.
8.Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.
9.Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access

📌 Big Data Engineer (Pune)
🏢 Whitekraaft
📍 Pune