What are the responsibilities and job description for the Lead Hadoop/Big Data Engineer position at KMM Technologies, Inc.?
Reach me on: Email: goutham@kmmtechnologies.com | (240)-800-0052
Position: Lead Big Data Engineer
Location: Reston, VA #HYBRID
Required Local To VA / MD / DC
Duration: Long term
Job Description
20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
15% Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
10% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
5% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
Thanks & Regards,
--
LAXMAN
KMM Technologies, Inc.
CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified
Tel: (240) 800-0039 |Email: lax@kmmtechnologies.com
Position: Lead Big Data Engineer
Location: Reston, VA #HYBRID
Required Local To VA / MD / DC
Duration: Long term
Job Description
- The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance.
- This role will focus on leading the development of solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.
- 10 years hands on experience as a Big Data Engineer in Hadoop and AWS ecosystem in Healthcare industry
- Hands on experience with developing application for batch data loads and data streaming using technologies using Cloudera/Hadoop and/or AWS technologies in Healthcare industry.
- AWS Certified Big Data - Specialty (Must Have)
- Cloudera Certified Developer for Apache Hadoop (CCDH) (Must Have)
- Education Level: Master's Degree (Information Technology or Computer Science or Business Analytics)
- Experience: 10 years Experience leading database design and ETL development.
- Experience in leading data engineering and cross functional teams to implement scalable and fine tuned ETL/ELT solutions (batch and streaming) for optimal performance.
- Experience developing and updating ETL/ELT scripts. Hands-on experience with Ab Initio ETL development in Hadoop and AWS ecosystem, relational database layout, development, data modeling.
- Expert in at least one programming language (i.e., SQL, NoSQL, Python)., Expert
- Knowledge of multiple database technologies - structured and un-structured., Expert
- Ability to quick learn new technology and take direction., Expert
- Strong customer service orientation., Expert
- Provide direction to and lead technical teams., Expert
- Provide direction and lead teams on Big Data and AWS technologies., Expert
- Requires strong organizational with the ability to handle multiple priorities., Expert
- Excellent communication skills both written and verbal., Expert
20% Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability.
20% Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform.
15% Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts.
15% Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
15% Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources.
10% Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems.
5% Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
Thanks & Regards,
--
LAXMAN
KMM Technologies, Inc.
CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified
Tel: (240) 800-0039 |Email: lax@kmmtechnologies.com
