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Technical Lead

3 months ago

Bangalore, Karnataka, India Strategic HR Solutions Full time

Job Description

As a Technical Lead, you will be responsible for 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 the Engineering manager.

Responsibilities:

- Align our client 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 our client.

- Stay up-to-date on the latest technology to ensure the greatest ROI for customer & our client

- 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+ year track record of relevant work experience and a computer Science or a related technical discipline is required

- Must have excellent DSA expereince :

- Excellent in coding and designing/ documentation

- Must be from consulting company background

- 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, Java or Python or Scala a must

- Experience with Snowflake,DBT,PBI

- Experience with SQL 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 Airflow, SQL Server, Glue, Snowpark

- Experience with AWS and Direct Query

- Experience with database modeling and development, data mining and warehousing.

- Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)

- Type : Full Time

- Location : Bangalore/Bengaluru (On-site)

- Shift Timings : 9:30-6:30 IST

- Experience : 7-12 Years

- Notice Period : Upto 30 Days

- Industry Background : IT , Consulting

- Educational Qualifications : B.Tech, BE, M.Tech, ME

Can consider PAN India candidates- candidate must be 100% open for Bangalore - Relocation reimbursement provided

Must Have

- Minimum 2+ years in Data Engineering

- 1. Last 5 years of experience should be from consulting companies

2. Skillsets - (Java/Scala/Python) + Big Data stack+ DSA + cloud experience

- Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred

Must have strong DSA, Coding and designing experience( hands on)

- Experience with Big data stack such as Hadoop, Spark, or similar stack a must

- Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc

Good to Have

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)

Skills Required

Python, Java, Scala, Data Engineer, Cloud, DSA, Big Data

Interview Process

1- Coding round & DSA Round

2- Design Round

3- Culture Fit Round

4- HR Round

(ref:hirist.tech)