TransOrg Analytics - Senior Data Architect

Why would you like to join us?

TransOrg Analytics is a Big Data and Machine Learning solutions and services company which offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. Our Automated Machine Learning product Clonizo' has yielded significant incremental benefits to our clients. TransOrg has won accolades such as 'Top 50 Employers' by the Silicon Review magazine, 'Predictive Analytics Company of the Year' and 'Top 50 Big Data Companies' by the CIO Review magazine. Visit us at www.transorg.com

What do we expect from you?

Develop best in class capability of deploying self-running and learning framework for ML/DL model across cloud platform

Provide strategic direction and technical expertise to meet data architecture needs

Contribute to the development of data policies, governance and implementation plans, and conceptual and logical data models

Work to assess data architectures to determine overall effectiveness and compliance with data strategy, enterprise requirements, and objectives

Review and comment on data solutions designed by IT project teams, and support requirements development

Research the implementation of data standards for interoperability, quality, and entity and data attributes

Play a key role in cloud migration strategy with focus on single/multi cloud, best possible tools/service on cloud, design architecture

Should be able to leverage Dev ops environment like GitHub, Docker, and Kubernetes etc. to deploy/orchestrate the models

Establish rail roads of continuous data flow and transmission of insights to business especially in real time environment.

Help come up with framework on cost optimization while running various process on cloud basis analytics job execution

Instrumental in designing dev ops capability of the analytics group, which can lead to making "data as first citizen" in the organization

Regular interaction with technology, analytics and business stakeholders to ensure the analytics use case pipeline are prioritised basis organization priority and impact

Enforcing data architecture standards, procedures and policies to ensure consistency across different program and project implementations.

What are we looking for?

Bachelors in Computer Science/ Engineering, Statistics, Mathematics or related quantitative degree

6-9 years of professional experience as a Data Architect, Data Engineer or related role developing conceptual, logical, and preliminary physical models for an enterprise

4+ years of experience in Industry 4.0 initiatives and/or other aspects of corporate data management; e.g. Data Governance, Data Security, AI/ML, Data DevOps

Strong knowledge on BI and ETL

Well versed with any cloud platform AWS/Azure/GCP. AWS is a plus.

Experience on CRM projects, Master Data Management projects, data cleansing projects, data de-duplication

In-depth hands-on experience on AWS Glue with workflows to build ETL pipelines, Automate Scheduling

In depth experience on Spark with Scala, Python and SparkSQL interfaces. Familiar with parameters required for tuning and logging

In-depth hands-on experience on Amazon S3 with Python API (boto3)

In-depth hands-on experience on Athena SQL as well as Python API (boto3)

Hands-on experience with AWS lambda

Deep experience with Redshift database and data mining via Python.

Knowledge of developing and using data standards comprising the format, representation, definition, structuring, manipulation, tagging, transmission, use, and management of data

Experience developing and using metadata guidelines to tag data and use the tags as part of a data management strategy

Experience assessing data solutions for compliance and conformance with guidelines and policies

Understanding of the use and maintenance of data dictionaries, data models, and data maps in an enterprise business software environment.