Lead Data Engineer
Presidio
Chennai, TN, IN
5d ago

LEAD DATA ENGINEER

Years of Experience 7 to 12 years

Location Chennai, Coimbatore & Bangalore

Description

If you love the challenges that come with big data, then this role is for you. We are looking for Data Engineers who can handle of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark / Scala EMR, SQL based ETL, and Java services.

You are a talented, enthusiastic, and detail-oriented Data Engineer, Data Science, Business Intelligence, or Software Development who knows how to take on big data challenges in an agile way.

Duties include big data design and analysis data modeling, and development, deployment, and operations of big data pipelines.

You will also help hire, mentor, and develop peers in the Data Analytics team including Data Scientists, Data Engineers, and Software Engineers.

You'll help Coda build data pipelines and data sets and expand self-service data knowledge.

This role requires you to live at the cross section of data and engineering. You have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on highest standards on operations in ETL and big data pipelines.

We deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, Kinesis Firehose, and Lambda. You'll build our data portfolio and partner with Product, Marketing, BI, and ML teams to build new behavioral events, pipelines, datasets, models, and reporting to support their initiatives.

You'll also continue to develop our offline analytics capabilities in Tableau and build out our real time dashboarding capabilities.

Basic Qualifications

Bachelor’s degree in computer science, mathematics, statistics or a similar quantitative field

Experience with Redshift or another columnar store DW

Experience with cloud solutions / AWS / Azure / Google cloud

Experience building reports and / or data visualization

Experience with Hadoop / MapReduce / AWS / EMR

Experience with Spark / Scala / PySpark / Apache Kafka / Kinesis Streams / AWS Glue

Experience building or administering reporting / analytics platforms

Experience building flexible data APIs that consumers use to power other parts of the business Preferred Qualifications

3 to 5 years of experience as a data / software developer / scientist or related technical job

Experience working with predictive analytics / decision models / data mining libraries as well as the tools for developing it

Experience in algorithm design and problem solving

Experience leading small teams of engineers

Experience with Agile Development

Experience with Machine Learning (Classification, Collaborative Filtering)

Experience with Database development, data modelling and ETL pipeline development using tools like Informatica / Snowflake.

You are a thought leader You have successfully designed solutions involving open source based technologies, vendor-based packaged business solutions, web portals, and mobile solutions.

You are known for your attention to detail without losing the big picture and have embraced concepts of Designs and Development programming system long before they became popular.

You are respected by your peers, customers, and industry.

You are cloud-ready You are familiar with various aspects of cloud technologies and have successfully helped customers adopt the usage of the cloud, public, private, and hybrid.

You have advised on and architected solutions that involve industry-leading IaaS and PaaS solutions.

You are a great listener - Our goal is to build solutions that last for years and continuously adapt to changing needs of the industry.

You are a great listener to your customers, peers, industry trends and are receptive to what the market needs.

You are a collaborator - You enjoy working with multi-cultural teams, both domestic and international and find ways to get the best out of your people.

You also work well with a variety of roles including core development, design, operations, and support.

You believe in continuous learning - Things change in our industry continuously, and you always love to learn both the underlying technology and the business motivations of our customers, constantly finding new ways to improve our solution, processes to add value for our customers.

You are ready to contribute to rapid growth within a dynamic, small company culture!

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