HBase Architect Developer

Skills

Tech Skills:
• Hadoop Ecosystem (HBase, Hive, MapReduce, HDFS, Pig, Sqoop etc)
• should have good hands-on Spark (spark with java/PySpark)
• Hive
• must be good with SQL's(spark SQL/ HiveQL)
• Application design, software development and automated testing
Environment Experience:
• Experience with implementing integrated automated release management using tools/technologies/frameworks like Maven, Git, code/security review tools, Jenkins, Automated testing, and Junit.
• Demonstrated experience with Agile or other rapid application development methods
• Cloud development (AWS/Azure/GCP)
• Unix / Shell scripting
• Web services , open API development, and REST concepts

• Responsible for developing and maintaining applications with PySpark 

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

 

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

 

Job Description for :

Role: Data/Integration Architect

Experience – 8-10 Years

Notice Period: Under 30 days

Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.

Core Skillsets:

Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.

Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop

Should have worked on Agile

Sound communication skills

Should be open to learning new technologies based on business needs on the job

Additional Skills:

Awareness of other data/integration platforms like Mulesoft, Camel

Awareness Hadoop, Snowflake, S3

Overall experience of 4 – 8 years of experience in DW / BI technologies.
Minimum 2 years of work experience on Snowflake and Azure storage.
Minimum 3 years of development experience in ETL Tool Experience.
Strong SQL database skills in other databases like Oracle, SQL Server, DB2 and Teradata
Good to have Hadoop and Spark experience.
Good conceptual knowledge on Data-Warehouse and various methodologies.
Working knowledge in any of the scripting like UNIX / Shell
Good Presentation and communication skills.
Should be flexible with the overlapping working hours.
Should be able to work independently and be proactive.
Good understanding of Agile development cycle.

Strong exposure in ETL / Big Data / Talend / Hadoop / Spark / Hive / Pig

To be considered as a candidate for a Senior Data Engineer position, a person must have a proven track record of architecting data solutions on current and advanced technical platforms. They must have leadership abilities to lead a team providing data centric solutions with best practices and modern technologies in mind. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to research and provide appropriate guidance for synthesizing complex information and extract business value. Have the intellectual curiosity and ability to deliver solutions with creativity and quality. Effectively work with business and customers to obtain business value for the requested work. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work with innovation both independently and collaboratively.

Responsibility: • Studied Computer Science, • 5+ years of software development experience, • Must have experience in Elasticsearch (2+ years experience is preferable), • Skills in Java, Python or Scala, • Passionate about learning big data, data mining and data analysis technologies, • Self-motivated; independent, organized and proactive; highly responsive, flexible, and adaptable when working across multiple teams, • Strong SQL skills, including query optimization are required. • Experience working with large, complex datasets is required, • Experience with recommendation systems and data warehouse technologies are preferred, • You possess an intense curiosity about data and a strong commitment to practical problem-solving, • Creative in thinking data centric products which will be used in online customer behaviors and marketing, • Build systems to pull meaningful insights from our data platform, • Integrate our analytics platform internally across products and teams, • Focus on performance, throughput, latency and drive these throughout our architecture. Bonuses -Experience with big data architectures such as Lambda Architecture. -Experience working with big data technologies (like Hadoop, Java Map/Reduce, Hive, Spark SQL), real-time processing frameworks (like Spark Streaming, Storm, AWS Kinesis). -Proficiency in key-value stores such as : HBase/Cassandra, Redis, Riak and MongoDB -Experience with AWS EMR

Description Deep experience and understanding of Apache Hadoop and surrounding technologies required; Experience with Spark, Impala, Hive, Flume, Parquet and MapReduce. Strong understanding of development languages to include: Java, Python, Scala, Shell Scripting Expertise in Apache Spark 2. x framework principals and usages. Should be proficient in developing Spark Batch and Streaming job in Python, Scala or Java. Should have proven experience in performance tuning of Spark applications both from application code and configuration perspective. Should be proficient in Kafka and integration with Spark. Should be proficient in Spark SQL and data warehousing techniques using Hive. Should be very proficient in Unix shell scripting and in operating on Linux. Should have knowledge about any cloud based infrastructure. Good experience in tuning Spark applications and performance improvements. Strong understanding of data profiling concepts and ability to operationalize analyses into design and development activities Experience with best practices of software development; Version control systems, automated builds, etc. Experienced in and able to lead the following phases of the Software Development Life Cycle on any project (feasibility planning, analysis, development, integration, test and implementation) Capable of working within the team or as an individual Experience to create technical documentation

Looking for JAVA Tech Lead-AWS/HAdoop Experienced Person. Product based firm preferred.Must have handled teaam size of 10plus people