Hello,

Hope you are doing good.

We have an immediate opening for the below position, kindly let me know
your interest with your updated resume at *bhara...@accurogroup.com
<bhara...@accurogroup.com>*.





*Through TCS..  *



*Role Name : AWS Lead Data Engineer*

*Location : Bloomfield, CT*

*Relevant Experience : 8 + years*

*Note:  Very strong in PySpark, SQL and Python*



Technical / Functional Skills



We are looking for a strong hands-on AWS expert on the Data side of AWS
Cloud with following skills.



   - Experience in shell scripting using Linux, AWS CLI commands and well
   versed with all AWS services.
   - Experienced writing lambda functions, unit test scripts for lambda
   using Python, so python is a must.
   - Experience writing code in Pyspark for glue jobs, one should be
   experienced in Spark.
   - Work on AWS services S3, Lambda, Athena and Glue mainly, one should be
   experienced in Glue/EMR( If one know Spark, It should be good) as both are
   similar services, Athena tables creation( if one knows Hive(HQL), it should
   be good).
   - Basic understanding on IAM roles, as we will use in glue jobs, lambda
   functions, etc. Work with Cloudops team to get the IAM roles created and
   for automation, but to provide them the requirements one should have good
   understanding.
   - Work with other teams like CloudOps, DevOps for code deployments,
   Roles. etc. Understanding on Jenkins, CI/CD automation is must.
   - Experienced working on Redshift, DMS. Experience with AWS scheduling
   mechanism and preferably experience working in ESP scheduler.
   - Strong SQL/PLSQL knowledge.
   - Candidate should be experienced handling application integration using
   AWS native services.
   - Experiences working in agile methodology and should be good team
   player and contribute towards design and best practices
   - Candidate should have worked in onsite/offshore model
   - Prior Java based experience is a plus
   - AWS certification is a big plus





Role and Responsibilities



   - Should take part in Analysis, requirement gathering and design.
   - Ability to understand the requirements from Functional Technical Spec.
   - Maintains currency of deep data related IaaS, PaaS and SaaS technology
   knowledge
   - Lead and contribute to data implementation projects and/or project
   independent workstreams
   - Work independently, or as part of a team, to design and develop
   enterprise data solutions
   - Define client data strategy, including designing multi-phased
   implementation roadmaps
   - Understanding of distributed systems and architecture design trade-offs
   - Prior data modeling and data architect role for enterprise data
   modeling across multi-subject areas
   - Hands-on development experience using and migrating data to cloud
   platforms (i.e., lift-and-shifts)
   - Research, analyze, recommend, and select technical approaches for
   solving difficult and challenging development and integration problems
   - Be responsible for small to large sized projects, automation, task
   tracking, process execution and metrics for Enterprise Data Lake workloads
   - Collaborate with field sales, pre-sales, training and support teams to
   help partners and customers learn and use AWS services such as Lake
   Formation, Amazon Aurora, Amazon Data Pipeline, Amazon Athena, Glue, Amazon
   S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon
   Elastic Map Reduce (EMR), Amazon Kinesis, and Amazon Redshift. Experience
   in architecture, software design and operations in hybrid environments as
   well as projects at scale.
   - Demonstrated consulting skills, ideally through previous roles and
   delivery of on-site technical engagements with partners and customers. This
   includes participating in pre-sales on-site visits, understanding customer
   requirements, creating consulting proposals and creating packaged data
   solution offerings.
   - Engagements will include onsite projects proving the use of database,
   data and analytics solutions across on-premises and cloud environments.
   Customer are looking to migrate existing solutions as well as the develop
   new architectures and applications in the cloud. Strong verbal and written
   communication skills, with the ability to work effectively across internal
   and external organisations.
   - Work with engineering and support teams to convey partner and customer
   needs and feedback as input to technology roadmaps. Share real world
   challenges and recommend new capabilities that would simplify adoption and
   drive greater value from the use of AWS services. Experience, or a desire
   to work specifically in Healthcare and Life Sciences
   - Imagine bold possibilities and work with our clients and partners to
   find innovative new ways to satisfy business needs through database
   innovation, big data and business intelligence. Demonstrated ability to
   think strategically about business, product, and technical challenges
   - Provide technical assistance to offshore team and evaluate all codes.
   - Manage work and apply various performing techniques.
   - Understand the existing framework and develop/fine tune the jobs
   accordingly.
   - Coordinate with QA team and sort out the issue during testing.
   - Schedule/Plan the work item based on business priority.
   - Should take complete ownership of SDLC.
   - Strong skills in Oracle or relevant RDBMS, should have sound knowledge
   in writing SQL queries with Joins and sub queries.







*Bharat Chhibber | Sr. Technical Recruiter*

*Direct: 919 626 9615 | EMAIL bhara...@accurogroup.com
<bhara...@accurogroup.com>*

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