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Data Engineering Manager

Data Engineering Manager

Gokwik Commerce Solutions

7 - 12 years

12 - 16 Lacs

Gurugram Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Automation Operational excellence Data management Project management Analytical MySQL Project planning Manager Quality Control Business intelligence SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

The Data engineering manager will be responsible for handling a team of data engineers and closely working with product managers, data scientists, business intelligence teams , and SDEs to design and launch data-driven strategies across the organization.

He will also be responsible for designing overall data architecture that drives insights

You ll spend time on the following :

Lead a team of data engineers and guide them with the best data strategies in line with data needs.
Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
Continuously look for data optimization processes and oversee data management, governance, security, and analysis
Hire the best talent, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
Manage data delivery through high-performing dashboards, visualizations, and reports
Ensure data quality and security across every product vertical and related areas
Design, create and launch new data models and pipelines as per needs
Act as a project manager for data projects, mentor and grow the team by hiring skilled data engineers
Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture
Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
Ensure test-driven products/pipelines that are easily maintainable and reusable
Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
Increase automation and build analytic solutions at scale to serve the business requirements

We re Excited About You If You Have:

Bachelor s/Master s degree in Computer Science, Mathematics or any alternative computer programming training
At least 7 years of experience working in Data Engineering field
Experience managing engineers and guiding a team of engineers through project planning, execution, and quality control stages.
Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment.
Ability to keep up with several projects at once and understand the impact of projects within a larger system.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.
Experience building data pipelines, architectures, and data sets from raw, loosely structured data.
Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with relational SQL databases, including Postgres and MySQL.
Experience with object-oriented design in Python
Experience with data pipeline and workflow management tools
Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3

Both verbal and written communication skills

Efficiency in handling technical issues expertly, producing new design ideas and substitutions where required

Appreciate and add to a collaborative team effort

Some Important Traits We look out for a Person in this role

Independent, resourceful, analytical, and able to solve problems effectively

Ability to be flexible, agile, and thrive in chaos

Excellent oral and written communication skills

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Data Engineering Manager