Sigmoid

Real-time ad analytics and bid optimization

Technical Lead - Databricks Champion

Data EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

At least 8 years of relevant work experience and a computer science or related technical discipline.
Experience architecting and delivering enterprise-scale applications, developing frameworks and design patterns, addressing technical challenges, proposing comprehensive solutions, and guiding junior staff.
Proven experience building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as Google Cloud Platform or Amazon Web Services is preferred.
Experience working with large, complex data sets from varied sources.
Experience with Hadoop, Spark, or a similar technology stack.
Experience with functional and object-oriented programming; Python or Scala experience is required.
Technical knowledge of Spark, Hadoop, and Google Cloud Storage stack.
Experience with agile methodology is preferred.
Development and support experience in the big data domain is preferred.
Experience architecting, developing, implementing, and maintaining big data solutions is preferred.
Experience with database modeling and development, data mining, and data warehousing is preferred.
Experience with the Hadoop ecosystem, including HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, and Kafka, is preferred.
Ability to understand business requirements and connect them to technology solutions.
Ability to define technical requirements, extract and transform data, automate and productionize jobs, and explore big data technologies in a parallel processing environment.
Effective written and verbal communication skills.
Ability to collaborate with engineers, data scientists, and product managers.
Ability to work in a fast-paced startup environment.

Responsibilities

Build a highly scalable and extensible big data platform for collecting, storing, modeling, and analyzing large data sets from multiple channels.
Align the company with key client initiatives by interfacing daily with customers to understand strategic requirements and regularly connecting with VP- and director-level clients.
Travel to client locations.
Facilitate technical work by designing, developing, and evolving scalable, fault-tolerant distributed components using big data technologies.
Support application development, application support, integration development, and data management.
Provide day-to-day technical leadership by guiding developers on design and coding tasks.
Play a key role in hiring technical talent.
Maintain hands-on coding responsibilities and apply enterprise-level coding practices.
Design and implement APIs, abstractions, and integration patterns to address distributed computing problems.
Stay current with technology to improve outcomes for customers and the company.

Desired Qualifications

Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as Google Cloud Platform or Amazon Web Services.
Experience with agile methodology.
Development and support experience in the big data domain.
Experience architecting, developing, implementing, and maintaining big data solutions.
Experience with database modeling and development, data mining, and data warehousing.
Experience with the Hadoop ecosystem, including HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, and Kafka.

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

Technical Lead – Data Engineering

As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

This position reports to Engineering Manager.

Responsibilities:

Align Sigmoid with key Client initiatives
- Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
- Connect with VP and Director level clients on a regular basis.
- Travel to client locations
- Ability to understand business requirements and tie them to technology solutions
Facilitate in Technical Aspects
- Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.
- Excellent experience in Application development and support, integration development and data management.
Provide technical leadership and manage it day to day basis
- Guiding developers in day to day design and coding tasks
- Play a key role in hiring technical talents to build the future of Sigmoid.
Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid
- Hands on coder with good understanding on enterprise level code
- Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
- Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
Culture
- Must be a strategic thinker with the ability to think unconventional / out:of:box.
- Analytical and data driven orientation.
- Raw intellect, talent and energy are critical.
- Entrepreneurial and Agile : understands the demands of a private, high growth company.
- Ability to be both a leader and hands on "doer".

Qualifications: -

8+ years of track record of relevant work experience and a computer Science or a related technical discipline is required
Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff
Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred
Experience working with large, complex data sets from a variety of sources
Experience with Hadoop, Spark, or similar stack a must
Experience with functional and object-oriented programming, Python or Scala a must
Effective communication skills (both written and verbal)
Ability to collaborate with a diverse set of engineers, data scientists and product managers
Technical knowledge in Spark, Hadoop & GCS Stack.
Comfort in a fast-paced start-up environment

Preferred Qualification:

Experience in agile methodology
Development and support experience in Big Data domain
Architecting, developing, implementing and maintaining Big Data solutions
Experience with database modeling and development, data mining and warehousing.
Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

About the Company

Sigmoid

Real-time ad analytics and bid optimization

Sigmoid analyzes real-time ad bid and auction data to optimize advertising spend and revenue. The platform, SigView, processes billions of ad impressions in real time to deliver business intelligence, sales forecasting, trend analysis, and bid optimization for both buy-side players (buyers, DSPs, ad networks) and sell-side players (SSPs, ad exchanges). It is subscription-based, granting clients instant access to bid and auction data for ad hoc exploration and informed decision-making. Compared with competitors, Sigmoid combines real-time, large-scale data analytics across both sides of the market and provides a unified view for optimizing campaigns and revenue, rather than offering a single-side solution.

Company size: 1,001-5,000
Company stage: Series B
Total funding: $12M
Headquarters: Jersey City, NJ
Founded: 2013

Recently Posted Jobs

Explore more opportunities at Sigmoid

See more jobs