Specialist - Data Engineering

Role description

Job Summary

Seeking a Senior Specialist with 7 to 11 years of experience to design develop and maintain scalable big data solutions using the Big Data Hadoop Ecosystem Spark SparkSQL and Python

Job Description

Utilize the Big Data Hadoop Ecosystem to efficiently process and analyze large datasets Develop and optimize data workflows leveraging Hadoop Spark and SparkSQL for largescale data analytics Develop Python applications and scripts to automate data processing and integration within the Hadoop ecosystem Collaborate with crossfunctional teams to understand data requirements and deliver optimized solutions aligned with business goals Ensure data quality integrity and governance across distributed systems Integrate various data ingestion and transformation tools such as HDFS Hive Sqoop Oozie and Kafka Stay updated with emerging technologies and best practices in Hadoop Spark Python and big data frameworks Optimize system performance and troubleshoot issues related to big data infrastructure to ensure high availability and reliability

Roles and Responsibilities

Design develop and deploy scalable big data solutions using Hadoop and Spark ecosystems Implement and optimize SparkSQL and PySpark jobs to enhance performance and resource utilization Monitor and maintain Hadoop clusters for stability capacity planning and performance tuning Collaborate with data engineers analysts and stakeholders to deliver actionable insights and highquality data solutions Conduct code reviews provide technical guidance and mentor junior team members Participate actively in Agile ceremonies including sprint planning code reviews and release cycles Document technical specifications processes and best practices related to big data projects Ensure security and compliance standards are met within big data environments

Skills

Mandatory Skills : Big Data Hadoop Ecosystem

Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision

Short Term and Long-Term Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Holidays

Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

Benefits

Compensation range: $100,000.00 to $110,000.00 per year

About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/