Lead Data Engineer

2 weeks ago

Chennai, Tamil Nadu, India Integrate Full time
Overview

:

Integrate's journey began in 2010 amidst the burgeoning martech landscape.

With a vision to seamlessly "integrate" the multitude of emerging data points, the company initially ventured as a Media enterprise.

Pivoting to software development in 2014, the company's strategic moves enabled the birth of a cross-channel demand management platform.

Today, Integrate is a leading B2B marketing provider that offers:

Integrate:

Cross-channel demand management SaaS platform for enterprise demand and marketing operations teams.

Integrate accelerates speed-to-business value through powerful integrations, delivers 100% marketable and compliant leads with trusted governance, and provides AI-powered insights to enhance and expedite smart decision-making.

Pipeline360

:

All-in-one integrated media solution for content syndication, account intelligence enhancement, and digital advertising to enable building marketing pipeline in a scalable, reliable, and predictable way.

We have been recognized as a "Best Places to Work" every year since 2014 and have offices in Phoenix, AZ; Boulder, CO; London, UK; and now in Chennai, India However, we are a remote-first type company where you will find Integrators across the globeOur Mission:


To connect everything - data, channels, tech, and team members - to create intelligent buyer and account journeys and deliver scale.

Why us?Integrate is an organization of integrity, talent, passion, and vision.

Our track record of growth, customer success, and an executive commitment to leading in product discovery, innovation, and user experience, has us positioned for revolutionary innovation in enterprise software and media.

Integrate's Fast Facts:

Founded:
2010Funding:

$100m+ raised from leading MarTech investors, along with a partnership/acquisition by Audax Private Equity in December 2021Customers:

Enterprise and high-growth companies, including Salesforce, Microsoft, Oracle, Dell, Adobe, Akamai, VMware, RedHat, Pluralsight, Splunk, etc
Global offices:

Phoenix, Boulder, London, and Chennai IndiaEmployees:

~400The Role:

Integrate's data is treated as a critical corporate asset and is seen as a competitive advantage in our business. As a Lead Data Engineer you will be working in one of the world's largest cloud-based data lakes.

You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud, Snowflake).

You should have extensive experience in the design, creation, management, and business use of extremely large datasets.

You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.

Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

Responsibilities:


Design and develop workflows, programs, and ETL to support data ingestion, curation, and provisioning of fragmented data for Data Analytics, Product Analytics and AI.Work closely with Data Scientists, Software Engineers, Product Managers, Product Analysts and other key stakeholders to gather and define requirements for Integrate's data needs.

Use Scala, SQL Snowflake, and BI tools to deliver data to customers.
Understand MongoDB/PostgreSQL and transactional data workflows.
Design data models and build data architecture that enables reporting, analytics, advanced AI/ML and Generative AI solutions.
Develop an understanding of the data and build business acumen.
Develop and maintain Datawarehouse and Datamart in the cloud using Snowflake.
Create reporting dashboards for internal and client stakeholders.
Understand the business use cases and customer value behind large sets of data and develop meaningful analytic solutions.

Basic Qualifications:

Advanced degree in Statistics, Computer Science or related technical/scientific field.7+ years experience in a Data Engineer development role.
Advanced knowledge of SQL, Python, and data processing workflow.
Nice to have Spark/Scala, MLFlow, and AWS experience.
Strong experience and advanced technical skills writing APIs.
Extensive knowledge of Data Warehousing, ETL and BI architectures, concepts, and frameworks.

And also strong in metadata definition, data migration and integration with emphasis on both high end OLTP and business Intelligence solutions.

Develop complex Stored procedure and queries to provide to the application along with reporting solutions too.
Optimize slow-running queries and optimize query performance.
Create optimized queries and data migration scriptsLeadership skillsets to mentor and train junior team members and stakeholders.

Capable of creating long-term and short-term data architecture vision and tactical roadmap to achieve the data architecture vision beginning from the current stateStrong data management abilities (i.e., understanding data reconciliations).Capable of facilitating data discovery sessions involving business subject matter experts.

Strong communication/partnership skills to gain the trust of stakeholders.

Knowledge of professional software engineering practices & best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Preferred Qualifications:


Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.

Experience building data products incrementally and integrating and managing datasets from multiple sources.

Query performance tuning skills using Unix profiling tools and SQLExperience leading large-scale data warehousing and analytics projects, including using AWS technologies – Snowflake, Redshift, S3, EC2, Data-pipeline and other big data technologies.

Integrate in the News:

Best Tech Startups in Arizona Integrate Acquires AkkrooIntegrate Acquires ListenLoopWhy Four MarTech CEO's Bet Big on Integrate

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