Senior Data Engineer

Design develop and optimize ETLELT data pipelines for largescale data processing

Build and maintain data solutions using Apache Spark Databricks SQL and Python

Develop robust batch and realtime data ingestion frameworks

Design and implement enterprise data warehouses data marts and Lakehouse architectures

Create and maintain logical and physical data models to support business requirements

Ensure data quality governance security and compliance across data platforms

Develop streaming data solutions using event driven architectures and realtime processing frameworks

Collaborate with data scientists analysts and business stakeholders to deliver data driven solutions

Monitor troubleshoot and optimize data platform performance and reliability

We are seeking a highly skilled Senior Data Engineer with min2 years of experience in designing developing and maintaining scalable data platforms and analytics solutions The ideal candidate will have strong expertise in Data Engineering ETL ELT development Apache Spark Databricks SQL Python Data Warehousing Data Modeling Streaming Data Services The role requires building reliable high performance data pipelines that enable business intelligence advanced analytics and AIML initiatives, Data Engineering Data Architecture

ETLELT Pipeline Development

Apache Spark Databricks

Oracle SQL

Data Warehousing Data Modeling

Data Quality Governance

Performance Tuning Optimization

Mandatory Strong expertise in Python and PySpark

Handson with Databricks Delta Lake and Apache Spark SQL

Familiar with CICD Git and Lightspeed

Preferred Qualifications

Bachelors or Masters degree in Computer Science Engineering Data Science or related field

Minimum 2 years relevant experience required Preferred 59 years experience

Good to have Banking domain or Regulatory reporting experience

Skills

Mandatory Skills Apache Spark PySpark Python SQL ETL ELT Data Modeling Databricks Unix Skills Mandatory Skills : Apache Spark, ETL / Datawarehouse testing, ETL Concepts, MySQL, Python Good to Have Skills : Databricks 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., Compensation range: $86,031.00 to $113,900.00 per year

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.ltm.com/careers/recruitment-fraud-alert