Associate Director Data Engineering & Analytics

3 Days Old

As a Hiring partner for many IT organizations we are looking for a Technical and Strategic leadership role as Associate Director-Data Engineering and Analytics. This is direct, full time and on the payroll of hiring organization. Interested candidates can share word format resume with ctc,notice period details at : info@unimorphtech.com Role : Associate Director - Data & Analytics Experience :14-20 Yrs Primary Skill: Data Science - Databricks/Data Engineering/Analytics. Work Location - Noida # Highlights Enterprise Architect/solution architect hands on exp in Data Engineering,Data Analytics & Public cloud (AWS/Azure/GCP). Hands on experience & Technology Leader in Data architecture, Implementation of large scale Enterprise-level Data Lake/Data Warehousing, Big Data and Analytics applications. Experience in client management,business opportunities,solutions,stakeholder management etc. Perform and deliver POC/POV/POT/MVP etc. in Data Engineering,Data Analytics. Build competency & client engagement in Data Analytics,Data Engineering,Data Science,AI/ML, ML and Data Ops, Data Governance etc. Excellent in Best practices,standards,process in Data Analytics,New & energing Tools and Technology evaluation. Focus on building practice competencies on Data & Analytics Excellent in Data Engineering in terms of solutioning, architecture and delivery.
# Job Description # Key Responsibilities 1.Senior professional level role and hands-on enterprise level architect/ solution leader with deep experience in Data Engineering technologies and on public cloud like AWS / Azure/ GCP 2. Engage with client managers to understand their current state, business problems/ opportunities, conceptualize solution options, discuss and finalize with client stakeholders, help bootstrap a team and deliver PoCs/PoTs/MVP etc. 3. Help build overall competency within teams working in related client engagements and rest of organization in Data & Analytics, including Data Engineering, Analytics, Data Science, AI/ML, ML and Data Ops, Data Governance etc. related solution patterns, platforms, tools and technology. 4.Staying up to date in the field regarding best practices, new and emerging tools, and trends in the Data and Analytics 5.Focus on building practice competencies on Data & Analytics
# Professional Experience / Qualifications Bachelors degree / Masters degree in a Software discipline Experience w.r.t. Data architecture, Implementation of large scale Enterprise-level Data Lake/Data Warehousing, Big Data and Analytics applications. Professional with a background in Data Engineering, should have led multiple engagements in Data Engineering in terms of solutioning, architecture and delivery. Excellent English communication both written and verbal # Technology
o For the above skill areas, must have lifecycle experience on some of the tools such as AWS Glue / Redshift / Azure Data lake / Databricks / Snowflake , etc. o Database experience and programming experience on Spark- Spark SQL, PySpark, Python etc. #J-18808-Ljbffr
Location:
Snowflake, AZ, United States
Job Type:
FullTime
Category:
Management Occupations

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