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Lead/Senior Data Engineer
Lead/Senior Data Engineer
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Lead/Senior Data Engineer

Mamta K's profile picture
Posted by Mamta K
8 - 15 yrs
₹18L - ₹24L / yr
Chennai
Skills
Data engineering
skill iconPython
skill iconScala
Apache Hive
Delta Lake
SQL
Snow flake schema
Big Data

Job Description:

Position: Lead / Senior Data Engineer

Location: Chennai

Shift: US Eastern Time ( 5:00 PM – 2:00 AM )

Experience : 8+ years


Notice Period: Immediate Joiner only



Roles and Responsibilities:


Role Overview


The Lead Data Engineer will be responsible for designing, developing, and delivering high-quality software and data solutions while leading a team of engineers. The role involves hands-on technical work, architectural decision-making, mentoring junior developers, and collaborating with cross-functional teams to ensure successful delivery of scalable data platforms and analytical solutions.


Key Responsibilities:


Lead the end-to-end design, development, and delivery of software systems, data pipelines, and components.

Define technical strategy, architecture, and best practices for development and data engineering.

Design and build optimized data pipelines using cutting-edge technologies in a cloud environment.

Construct infrastructure for efficient ETL processes from various sources and storage systems.

Architect, design, and maintain database pipeline architectures, ensuring readiness for AI/ML transformations.

Lead the implementation of algorithms and prototypes to transform raw data into useful information.

Review code for quality, scalability, and performance.

Collaborate with Product Managers, Business Managers, Designers, and QA teams to translate business requirements into technical solutions.

Develop analytical tools, programs, and reporting mechanisms.

Create data validation methods and data analysis tools.

Interpret data trends and patterns to establish operational alerts.

Conduct complex data analysis and present results effectively.

Prepare data for prescriptive and predictive modeling.

Ensure compliance with data governance and security policies.

Troubleshoot, debug, and resolve complex technical issues.

Drive continuous improvement in software and data development processes, tools, and methodologies.

Mentor and guide engineers through code reviews, technical discussions, and training.

Ensure timely delivery of projects while maintaining high engineering standards.

Continuously explore opportunities to enhance data quality and reliability.

Apply strong programming and problem-solving skills to develop scalable solutions.

Demonstrate passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with global teams.

Stay current with emerging technologies and industry trends to propose innovative solutions.



Technical Skills and Experience Requirements


Minimum 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Python, Scala, and Spark for applied large-scale data processing.

Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases such as MySQL and Snowflake.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data lakes.

Qualifications - Bachelor’s degree in computer science, Engineering, Information Systems, or related field.

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Team Geek Solutions

Founded :
2018
Type :
Services
Size
Stage :
Bootstrapped

About

Team Geek Solutions (TGS) is a global technology partner based in Leander, Texas, with a regional office in Pune, India. Founded in 2018 and established as a private limited company in 2020, TGS has rapidly grown into a USD $40 million company with over 150 team members worldwide. The company specializes in AI and Generative AI solutions, custom software development, and talent optimization, offering managed remote teams and scalable solutions tailored to various industries. TGS provides a wide range of services, including AI/ML application development, cloud migration, custom software development, and cybersecurity audits. They also offer specialized resources in Generative AI and automated hiring solutions. TGS supports businesses in sectors such as banking, telecom, fintech, healthcare, and manufacturing, helping them enhance operational efficiency and drive innovation. The company is committed to delivering custom software solutions and cloud-based platforms that empower organizations to operate more effectively.

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