Specialist - Data Engineering
LTM
About the role
Job Title
Big data developer
Work Location
Rutherford, NJ
Job Description
- Primary Skill Big Data
- Secondary Skill SQL Autosys Bigdata Hadoop Tableau Data Analysis Prod monitoring Troubleshoot issue
- 7 years of experience
- Working experience on Big data
- Hands on with technologies such as Python and Spark
- Working experience on SQL
- Should be able to contribute on Oracle SQLPLSQL as well when needed
- Additional skills
- Experience in SQL ETL
- Hands On Technical Oracle PLSQL DB Big Data
- Experience in Bigdata and Hadoop frameworks Cloudera preferable
- Experience in Implementing Automating Data ingestion solutions using Hadoop Sqoop Hive Impala and Spark
Skills
Mandatory Skills: Python
Good to Have Skills: Apache Spark, Python for DATA, SparkSQL
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
Compensation
Compensation range: $92,432.00 to $136,600.00 per year
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.
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/
Disclaimer
The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family‑care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Requirements
- Working experience on Big data
- Hands on with technologies such as Python and Spark
- Working experience on SQL
- Should be able to contribute on Oracle SQLPLSQL as well when needed
- Experience in SQL ETL
- Hands On Technical Oracle PLSQL DB Big Data
- Experience in Bigdata and Hadoop frameworks Cloudera preferable
- Experience in Implementing Automating Data ingestion solutions using Hadoop Sqoop Hive Impala and Spark
Benefits
Skills
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