Data Analytics Jobs

Title: Data Analytics Tech lead

-The Data and Analytics Lead is responsible for designing and implementing end to end data and BI solutions that support the organization’s strategic business goals

-Lead a team consisting of Data Engineers and BI Engineers and make sure the business objectives are delivered on time

-Work on designing the solutions at a low level based on the directions from the Solution Architect and implement the same

-Tests, monitors, manage and validate data warehouse activity including data extraction.

-Participate in design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards.

-Implement automated workflows and routines using workflow scheduling tools to ensure compliance with technical processes and standards.

-Identify, communicate, and mitigate Risks, Assumptions, Issues, and Decisions throughout full lifecycle.

Requirements

-Minimum of 5 years’ experience working with Cloud Data Platforms especially AWS and different BI tools like Qlik, Tableau and/or ThoughtSpot

-Experience in Design, build and configure Snowflake DWH to meet business process and application requirements.

-Hands-on experience in writing AWS Lambda, Glue, EMR, Python, and Spark jobs.

-Hands on experience building dashboards using Qlik or Tableau and self service tools like ThoughtSpot

-Candidate should have good experience with Data pipeline, data manipulation and data visualization.

-At least one/two Snowflake design end-to-end implementations with long-term project association.

-Experience in Snowflake design review processes and resolved technical problems.

-Experience in query tuning and optimization, designing Sort and Distribution keys.

-Experience in processing design optimal queries to aggregate data and build reports or data feeds for downstream sources.

-Experience working on large-scale, distributed systems

-Solid grounding in Agile methodologies

-Experience with git and other source control systems

-Life Science Domain experience is desired

Skills:

-8 years Object Oriented programming experience preferably in Java

-5+ years of experience in Java SpringBoot development

-3+ years of experience with Docker containers

-Minimum of 3 years’ experience working with Cloud Data Platforms especially AWS

-Expertise with Amazon Web Services (AWS) – ECS, Fargate, S3, RDS, Athena, etc.

-Experience in integration technologies (e.g. SOA/ Web services: REST, SOAP, XML, JSON, Messaging, File Transfer)

-Experience in web technologies (e.g. HTML, CSS, JavaScript). Javascript frameworks like Angular, React, Ember, Polymer, Backbone or similar.

-Experience with GIT Version Control Systems.

-AWS Certification is a plus

-Experience with development in a multi-tiered release environment and Continuous Integration

-Experience and knowledge of Salesforce.com - custom Lightning and Apex development is a plus

-Mulesoft experience is nice to have.

-Excellent written and verbal communication skills

-Demonstrate customer focus and proven ability to work in fast paced environment

-Ability to lead development teams both onshore and offshore

-Skills Experience in BioTech/Pharmaceutical industries desirable though not required

-Bachelor degree in Computer Science, Engineering or relevant field.