Open jobs list for our direct client - Java, Big Data, Data Analyst Need
Tom Martin
Hi
All,
Please
go through the job description below and let me know if you have any suitable
candidates.
Visa, DL copy & LinkedIn profile is required
Please share resumes only to tma...@idexcel.com
1. Sr Java Developer @ Richmond/McLean, VA
2. Big Data/ML Engineer - Sr @ Wilmington, DE - In-person interview is required
3. Data Analyst @ Wilmington, DE/McLean/Richmond, VA
Sr Java Developer
Richmond/McLean, VA
12+ Months
5 Openings | Direct client
Note: Manager is looking for 5+ years of experience with top skills as Java, DBs and AWS is nice to have.
At least 5 years of software development experience
At least 2 years of recent experience in Java
At least 2 years of experience in designing and implementing database systems, strong SQL skills
Experience with Agile development process
Experience writing unit tests
Java 8, Spring Boot, RESTful APIs
Enterprise Java
Preferred qualifications:
Experience with CI/CD pipelines, AWS
Data Analyst
Wilmington/Mclean/Richmond
12+ Months
Looking for SQL and Python are primary skills. Nice to have skills are AWS, 3-5 years’ experience with Financial Services clients, OLAP/SQL Tools 3-5 yrs experience with MVS, Teradata, SAS, Brio or comparable.
RESPONSIBILITIES:
- Responsible for the design, development and administration of transactional and analytical data constructs/structures.
- Included within those responsibilities are the areas of data access and delivery technologies.
- Includes expertise in data quality, data organization, metadata, and data profiling.
- May provide technical support on data warehouse teams.
- Data set sizes are usually huge (in excess of hundreds of millions of records).
SKILLS/EXPERIENCE:
- SQL and Python experience required.
- Familiarity with AWS and cloud technologies required.
- Some Unix experience would be very helpful.
- Demonstrated ability to move from one sequential assignment to the next (work environment and priorities can change quickly depending on business needs).
- Demonstrated ability to move data between production systems and across multiple platforms
- 3-5 years experience with Financial Services clients
- Experience with major querying tools preferred
- OLAP/SQL Tools 3-5 yrs experience with MVS, Teradata, SAS, Brio or comparable
- Ability to deliver highly technical information to a broader audience beyond the team lead while influencing within the team
Big Data/Machine Learning Engineer - Sr
Wilmington, DE
12+ Months
4 openings | Locals Prefer
Manager notes: Looking for
AWS S3 EC2 Lambda EMR is required
5+ years of experience required
Must have experience Spark, Python/Scala
"Data Engineer Job Description for Data Transformation:
We are looking for a savvy Data Engineer to join our growing team to build a modernized Data Ecosystem. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, modernizing our data ecosystem with open source technologies as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have working experience using the following software/tools:
· Experience with big data tools: Hadoop, Apache Spark, Kafka, etc.
· Experience with relational SQL, Snowflake and NoSQL databases, including Postgres and Cassandra.
· Experience with data pipeline and workflow management tools: NiFi, Kylo, Luigi, Airflow, Azkaban etc.
· Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift
· Experience with stream-processing systems: Storm, Spark-Streaming, etc.
· Experience with object-oriented/object function scripting languages: Python, Java, C++, PySpark, Scala, etc.
Responsibilities for Data Engineer:
· Create and maintain optimal data pipeline architecture,
· Assemble large, complex data sets that meet functional / non-functional business requirements.
· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
· Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
· Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
· Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
· Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
· Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
· Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
· 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.
Thanks & Regards,
Tom Martin | Lead Recruiter
IDEXCEL Inc., 459 Herndon Parkway, Suite 11, Herndon, VA-20170
Direct: 703.230.2631 | Fax: 703.880.7584
Email: tma...@idexcel.com | www.idexcel.com