15-18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, AWS/GCP Big data services and Industry standard frameworks like Databricks and other tools & technologies.
Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a spark solution
Extensive experience in data modeling and database design involving any combination of – Data warehousing and Business Intelligence systems and tools
Relational and MPP database platforms like (Netezza/Teradata/AWS RedShift/GCP Big Query/GCP Dataflow/GCP Dataproc/GCP Datafusion/GCP DataComposer/Cloud SQL)
Open source Hadoop stack/Spark framework
Hands-on administration, configuration management, monitoring, performance tuning of spark based platforms
Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data
Ability to frame architectural decisions, provide technology leadership & direction
Excellent problem solving, hands-on engineering skills and communication skills
Broad understanding and experience of real-time analytics
Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution
Technical Skills Required
Any combination of below technical skills
Hadoop : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie
NoSQL : Cassandra, MongoDB, Hbase, AWS Dynamodb, DocumentDb
DW : Teradata, Netezza, Greenplum, Aster Data, Vertica, AWS RedShift
Languages : Java, Linux, Apache, Perl/Python/PHP
Cloud : Azure/AWS/GCP Big data native services
GCP(Mandatory): GCP Big Query/GCP Dataflow/GCP Dataproc/GCP Datafusion/GCP DataComposer/Cloud SQL
Any RDBMS/DWBI technologies
Spark(Mandatory): Databricks/Spark in AWS EMR/Spark in Azure HDInsight
Roles & Responsibilities
Position Activities and Tasks
Should be able to design complex and high performance Data architecture
Developing and maintaining strong client relations with senior and C-level executives—developing new insights into the client’s business model and pain points, and delivering actionable, high-impact results
Participating and leading client engagement in developing plans and strategies of data management processes and IT programs for the clients, providing hands on assistance in data modeling, technical implementation of vendor products and practices
Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams
Leading and mentoring other IT consultants within the practice and across business units
Supporting business development and ensuring high levels of client satisfaction during delivery
Contributing to the thought capital through the creation of executive presentations, architecture documents, and IT position papers
Scope Client requirements
Specify solutions and articulate value to customers
Provide best practice advice to customers and team members
Participate with End-users and do requirement gathering and convert into technical documentation
Identify the performance bottle-necks and resolve the same
Knowledge of GCP Big data services, Spark framework and Databricks is must
Mandatory People related Leadership Skills
Should be able to work in a team
Should be able to Mentor other team members on Big Data
Ability to produce high quality work products under pressure and within deadlines
To coordinate with developers / other architects / other stakeholders and cross functional teams from organization and customer side
Job Type
Full Time
Location
CHENNAI
Mandatory Skills
SPARK
AWS
mapreduce
hive
HBASE
Desirable Skills
SPARK
AWS
mapreduce
hive
HBASE
Years of Experience
15 to 20 Years
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