WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Integration Lead

Hexaware Technologies
United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Microsoft Azure Cloud Computing Information Engineering Data Integration Extract Transform Load (ETL) Data Mapping Data Warehousing Python (Programming Language) Pyspark Information Technology

Requirements

Lead DE/Solution Lead from onshore. We want someone who is highly hands-on, can mentor and guide junior developers, has a strong understanding of Databricks features and functionality, and possesses solid expertise in data engineering principles and best practices. Must Have

  • 12-13 yrs of experience and has experience managing teams from onshore & offshore as well as himself is hands-on is best for this role.
  • Strong IT experience in Datawarehouse and ETL
  • Hands-on data experience on Cloud Technologies on Azure, ADF, Synapse, Pyspark/Python
  • Ability to understand Design, Source to target mapping (STTM) and create specifications documents
  • Flexibility to operate from client office locations
  • Able to mentor and guide j

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:39 min

Harnessing data mapping tools to identify unmapped opportunities

Laura Möller Laura Möller +3 · World Congress 2024

1:06 min

Outline of free tools for Microsoft Azure

Radu Vunvulea Radu Vunvulea · World Congress 2022

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all
PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Web-based Information Visualization thumbnail
43:52
LIVE • almost 6 years ago

Web-based Information Visualization

Johanna Schmidt

Developer Tools for Microsoft Azure thumbnail
25:41
World Congress 2022 • about 4 years ago

Developer Tools for Microsoft Azure

Radu Vunvulea

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Related articles

See all