Hadoop Developer Resume Samples

Description :

1. Collaborated with stakeholders to gather and analyze business requirements for Hadoop solutions.
2. Worked with cross-functional teams to define technical specifications and project scope.
3. Implemented MapReduce programs to process semi-structured data formats like XML and JSON.
4. Developed Sqoop jobs to efficiently import large datasets into HDFS and Hive.
5. Created Pig scripts for data transformation, enabling analysis of unstructured data sources.
6. Utilized Spark for RDD transformations, enhancing data processing capabilities for analytics.
7. Designed a data quality framework for schema validation and profiling using Spark.

Experience

5-7 Years

Level

Executive

Education

MSc CS

Description :

1. Designed and migrated existing MSBI systems to Hadoop, enhancing data processing capabilities.
2. Developed a batch processing framework for data ingestion into HDFS, Hive, and HBase.
3. Conducted systems analysis, design, and development, contributing as a key individual on complex projects.
4. Resolved client issues by providing effective solutions and recommendations.
5. Guided junior developers and coordinated tasks on medium to large-scale projects.
6. Collaborated with development and operations teams for integrated testing on various projects.
7. Prepared test data and executed detailed test plans, ensuring quality and performance.

Experience

2-5 Years

Level

Junior

Education

MSc CS

Description :

1. Developed data pipelines using Flume, Sqoop, and PIG to extract and store data in HDFS.
2. Loaded tables from reference databases into HDFS using Sqoop, ensuring data integrity.
3. Designed and implemented ETL workflows in Java for processing data in HDFS and HBase.
4. Managed log file transfers from various sources to HDFS using Flume for further analysis.
5. Transformed structured and unstructured data from databases into HDFS using Sqoop.
6. Created Sqoop scripts for data import/export, handling incremental loads effectively.
7. Developed MapReduce programs in Java for comprehensive data analysis across formats.

Experience

0-2 Years

Level

Entry Level

Education

BSc CS

Description :

1. Developed and maintained scalable data pipelines using Hadoop ecosystem tools like Flume, Sqoop, and Pig for efficient data ingestion.
2. Wrote shell scripts to automate health checks of Hadoop services, ensuring high availability and performance.
3. Designed and implemented MapReduce jobs to process large datasets, improving data analysis efficiency.
4. Managed HDFS storage, including data replication and recovery strategies to ensure data integrity.
5. Collaborated with data scientists to optimize data models and improve query performance using Hive and Spark SQL.
6. Conducted performance tuning of Hadoop jobs, achieving significant reductions in processing time.
7. Participated in the installation and configuration of Hadoop clusters, ensuring optimal resource allocation and management.

Experience

5-7 Years

Level

Executive

Education

MSc CS

Description :

1. Analyzed incoming data processing through programmed jobs, delivering outputs for cross-team access and analysis.
2. Utilized Cloudera Manager to oversee Hadoop operations and ensure system reliability.
3. Collaborated with stakeholders on data mapping and modeling to align with business needs.
4. Documented architectural best practices for building scalable systems on AWS.
5. Employed Pig as an ETL tool for data transformations and pre-aggregations before HDFS storage.
6. Configured and launched Hadoop tools on AWS, optimizing component integration.
7. Integrated logs from physical machines into HDFS using Flume for enhanced data accessibility.

Experience

5-7 Years

Level

Executive

Education

MSc CS

Description :

1. Installed and configured Hadoop components, developing MapReduce jobs for data cleaning and preprocessing.
2. Configured and utilized Hadoop ecosystem tools, enhancing data processing efficiency.
3. Executed data import/export tasks using Sqoop for seamless integration with HDFS and Hive.
4. Designed ADF workflows for scheduling data copy and executing Hive scripts, improving data management.
5. Created dispatch jobs for loading data into Teradata, integrating big data analytics with Hadoop and Spark.
6. Contributed to the implementation of Cloudera Hadoop environments, ensuring optimal performance.
7. Worked with diverse data sources, including MongoDB and Oracle, to support data integration efforts.

Experience

5-7 Years

Level

Executive

Education

M.S. CS

Description :

1. Collaborated with engineering teams to design and implement data flow solutions using Hadoop, Hive, and Java, addressing complex business requirements.
2. Developed and optimized MapReduce jobs on large-scale Hadoop clusters, processing billions of records daily for timely reporting.
3. Worked closely with QA and Operations teams to support ETL platforms and ensure seamless data integration across systems.
4. Executed data extraction, transformation, and loading from diverse sources into data warehouses, enhancing data availability.
5. Created insightful metrics and dashboards to support business intelligence initiatives and decision-making.
6. Mentored junior engineers, providing training and conducting code reviews to ensure best practices in data application development.
7. Implemented proof of concepts (POCs) using Hadoop, Yarn, and Python, demonstrating innovative data processing solutions.

Experience

2-5 Years

Level

Executive

Education

M.S. CS

Description :

1. Installed and configured Apache Hadoop clusters, utilizing YARN for resource management and tools like Hive, Pig, and Spark for data processing.
2. Utilized Sqoop for efficient data transfer between relational databases and HDFS, and Flume for real-time log data ingestion.
3. Developed and optimized MapReduce programs for data cleansing and transformation, ensuring data quality for analysis.
4. Scheduled and managed incremental data loads into staging tables, enhancing data availability for analytics.
5. Implemented Kafka as a messaging system to facilitate real-time data ingestion from various sources into HDFS.
6. Executed data transformations using Pig scripts, performing joins and aggregations before storing results in HDFS.
7. Created and managed Hive external tables with partitioning strategies to optimize query performance on large datasets.

Experience

5-7 Years

Level

Executive

Education

MSc CS

Description :

1. Collaborated with business users to gather requirements and enhance data processing workflows.
2. Loaded and transformed large datasets from HDFS using Sqoop for further analysis.
3. Executed Hadoop jobs to process millions of records efficiently.
4. Transformed legacy data into HDFS and HBase using Sqoop for better accessibility.
5. Developed MapReduce programs to analyze and extract insights from large datasets.
6. Utilized Hive queries and Pig scripts to identify data patterns and trends.
7. Monitored and optimized Hadoop scripts for efficient data loading into Hive.

Experience

2-5 Years

Level

Junior

Education

M.S. CS

Description :

1. Enhanced performance by optimizing Hadoop sub-projects, migrating data using Sqoop, and conducting regular backups.
2. Integrated diverse data sources, including RDBMS and flat files, into Hadoop.
3. Designed and built scalable distributed data solutions leveraging Hadoop technologies.
4. Analyzed business requirements to develop and design effective data processing algorithms.
5. Executed delta processing and incremental updates using Hive, ensuring data integrity.
6. Optimized MapReduce and Hive scripts for improved scalability and performance.
7. Created and managed Hive tables, ensuring efficient data loading and querying.

Experience

7-10 Years

Level

Senior

Education

MSc CS