data analyst

data engineer

software engineer

data scientist

senior data engineer

gcp data engineer

LTIMindtree

<div><b>Role description</b><p><br>
GCP Data Engineer</p>
<p>
Location New York, NY, USA Onsite</p>
<p>
Job Summary</p>
<p>
Seeking a GCP Data Engineer with 5 to 7 years of experience in Python and GCP Bigtable to design develop and optimize scalable cloud solutions</p>
<p>
 Job Description
</p><p>Develop and maintain cloud applications leveraging Python and GCP Bigtable Design scalable data storage solutions using GCP Bigtable Utilize Python for automation and cloud solution development Collaborate with crossfunctional teams to build cloudnative architectures Optimize cloud solutions for performance scalability and cost efficiency Integrate GCP services to enhance data processing capabilities Ensure adherence to security best practices in cloud deployments Stay updated with the latest advancements in GCP technologies and industry trends</p>
<p>
Roles and Responsibilities</p>
<p>
Architect and implement scalable cloud solutions using Python and GCP Bigtable Troubleshoot and resolve issues related to cloud data storage and applications Collaborate with DevOps teams to automate deployment and monitoring processes Drive continuous improvement initiatives to enhance cloud infrastructure and application performance Mentor and support team members in adopting best practices for Python and GCP development Document technical designs processes and best practices for knowledge sharing Engage with stakeholders to understand business requirements and translate them into effective technical solutions.</p><b><br>
Skills</b><p><b><br>
Mandatory Skills : </b>GCP BigQuery, GCP Bigtable, GCP Build, GCP Cloud Composer, Python</p><b><br>
Other details</b><p><br>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
<p>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.</p><p></p>
<b>
Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> 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.<p></p><b><br>
Benefits</b><br>
Compensation range: $100,000.00 to $130,000.00 per year<br>
<b>About LTM</b><br>
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;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 &mdash; 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 &mdash; a Larsen &amp; Toubro company &mdash; 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/</div>

GCP Data Engineer

Capgemini

<div><div><div><p>New York</p><div>
GCP Data Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><div>
Responsibilities</div><ul><li>
Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse for a Telecom Major..</li><li>
Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions</li><li>
Help architect data pipelines for the underlying data warehouse and data marts</li><li>
Design and develop very complex ETL pipelines in Google cloud Data environments.</li><li>
Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python</li><li>
Maintain detailed documentation of your work and changes to support data quality and data governance</li><li>
Support QA and UAT data testing activities</li><li>
Support Deployment activities to higher environments</li><li>
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)</li><li>
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team</li></ul><div>
</div><div>Basic Qualifications</div><ul><li>
8+ years of data engineering experience developing large data pipelines in very complex environments</li><li>
Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment</li><li>
Exposure to Teradata and ability to understand complex Teradata BTEQ scripts</li><li>
String Python programming skills</li><li>
Strong Skills on build Airflow Jobs and Debug issues</li><li>
Ability to Optimize the Query in BigQuery</li><li>
Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)</li></ul><div>
</div><div>Preferred Qualifications</div><ul><li>
Experience with cloud data warehouse technology BigQuery.</li><li>
Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)</li><li>
Nice to have exposure to Teradata</li><li>
Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs.</li><li>
Writing and maintaining large Data Pipelines using Custom ETL framework</li><li>
Ability to Automate Jobs using Python</li><li>
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>
Very good experience with Code Version control repository like Github</li><li>
Good Scripting skills, including Bash scripting and Python</li><li>
Familiar with Scrum and Agile methodologies</li><li>
Problem solver with strong attention to detail and excellent analytical and communication skills</li><li>
Ability to work in Onsite / Offshore model and able to lead a Team.</li></ul><div><div><div><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Job Description - Grade Specific</div></div><div>
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.</div></div></div><p>
The base compensation range for this role in the posted location is:$76,200 to $187,740</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
396972-en_GB</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Akkodis Group Nordics

<div>
 Akkodis is seeking a
 <strong>
  Data Engineer
 </strong>
 for a
 <strong>
  Contract
 </strong>
 with a client in
 <strong>
  New York, NY.
 </strong>
 The ideal candidate will build and optimize end‑to‑end data pipelines and ensure high‑quality ETL processes through rigorous testing, validation, and performance monitoring.
 <br/>
 <br/>
 <strong>
  Rate Range:
 </strong>
 $37/hour to $47/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 <br/>
 <br/>
 <strong>
  Data Engineer Job Responsibilities Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and ETL workflows using Python, PySpark, and GCP services like Dataflow, Dataproc, and BigQuery.
  </li>
  <li>
   Extract, transform, and load large‑volume datasets from diverse sources while ensuring data quality, accuracy, and reliability through robust testing and validation.
  </li>
  <li>
   Implement and optimize data ingestion and transformation processes, including writing advanced SQL/BigQuery queries for performance‑efficient data modeling.
  </li>
  <li>
   Collaborate with data scientists, analysts, and cross‑functional teams to understand business requirements and deliver high‑quality data solutions.
  </li>
  <li>
   Manage the end‑to‑end data lifecycle&mdash;from ingestion to transformation, storage, archiving, and deletion&mdash;while adhering to cloud security and compliance standards.
  </li>
  <li>
   Utilize Git for version control, develop CI/CD pipelines with Jenkins, and troubleshoot/debug existing ETL workflows to enhance system performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, Data Engineering, or a related field.
  </li>
  <li>
   3&ndash;6 years of hands‑on experience as a Data Engineer or in a similar data‑focused engineering role.
  </li>
  <li>
   Proven expertise in building and optimizing large‑scale data pipelines using Python, PySpark, and GCP technologies (BigQuery, Dataflow, Dataproc).
  </li>
  <li>
   Strong understanding of ETL best practices with the ability to develop efficient, secure, and reliable data ingestion and transformation solutions.
   <br/>
   <br/>
  </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 <strong>
  Gopal.Gupta@
 </strong>
 <strong>
  akkodisgroup.com.
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Details:
 </strong>
 $37.00 to $47.00 per hour
 <br/>
 <br/>
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 <br/>
 <br/>
 Equal Opportunity Employer/Veterans/Disabled
 <br/>
 <br/>
 Military connected talent encouraged to apply
 <br/>
 <br/>
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 <br/>
 <br/>
 <ul>
  <li>
   The California Fair Chance Act
  </li>
  <li>
   Los Angeles City Fair Chance Ordinance
  </li>
  <li>
   Los Angeles County Fair Chance Ordinance for Employers
  </li>
  <li>
   San Francisco Fair Chance Ordinance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Massachusetts Candidates Only:
 </strong>
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>


Data Engineer

DS Technologies Inc

<div><div><div><b>Job Title: Engineer II &ndash; Big Data / Apptio / ETL</b><br>
<b>Location: New York, NY (Onsite)</b><br>
<b>Position Type: Contract</b><br>
<b>Only W2</b><br>
</div><div><b>Job Description:</b></div>
<div>We are seeking a highly motivated <b>Engineer II (Big Data Engineer)</b> with strong technical expertise in <b>Apptio, Big Data, MS SQL, Oracle PL/SQL, Python, PySpark, and ETL/Data Warehousing</b>. The ideal candidate will support data engineering, analytics, reporting, and financial/IT cost transparency initiatives leveraging Apptio and enterprise data platforms.<br>
</div><div><b>Key Responsibilities:</b></div>
<ul><li>Develop and maintain <b>Big Data pipelines</b> using <b>PySpark, Python</b>, and other data engineering tools.</li>
<li>Work with <b>Apptio</b> for IT financial management, cost modeling, and reporting.</li>
<li>Perform <b>ETL development</b> for large-scale <b>Data Warehousing</b> and analytics systems.</li>
<li>Develop and optimize <b>MS SQL Server</b> objects (queries, stored procedures, SSIS packages, SSRS reports).</li>
<li>Write efficient <b>Oracle PL/SQL</b> code for RDBMS-based applications.</li>
<li>Analyze, transform, and process structured/unstructured data for reporting and insights.</li>
<li>Collaborate with business teams to gather requirements and deliver analytical solutions.</li>
<li>Troubleshoot data issues, improve data quality, and ensure system performance.</li>
<li>Document data flows, technical specs, and operational processes.</li>
</ul><div><b>Required Skills:</b></div>
<ul><li>Hands-on experience with <b>Apptio</b> (cost transparency, reporting, ITFM tools).</li>
<li>Strong knowledge of <b>Big Data technologies</b> (Hadoop, Spark, PySpark).</li>
<li>Proficiency in <b>MS SQL Server</b>, including <b>SSIS</b> and <b>SSRS</b>.</li>
<li>Strong SQL coding with <b>RDBMS</b> (MS SQL, Oracle).</li>
<li>Experience with <b>Oracle PL/SQL</b> programming.</li>
<li>Good command of <b>Python</b> for scripting and automation.</li>
<li>Strong understanding of <b>ETL processes</b> and <b>Data Warehousing</b> concepts.</li>
<li>Experience working in <b>Data Analytics</b> environments.</li>
</ul><div><b>Preferred Skills:</b></div>
<ul><li>Experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of visualization tools (Tableau, Power BI).</li>
<li>Familiarity with IT cost modeling and financial analytics.</li>
<li>Understanding of Agile methodologies and CI/CD workflows.</li></ul></div></div>

Engineer II – Big Data / Apptio / ETL

Realign

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title:</b> <b>Java Fullstack Engineer</b><br>
<b>Location &ndash; New York (Onsite)</b><br>
<b>Fulltime</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div><br>
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div><br>
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div>
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div><br>
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul><p>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools</p><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p></div>

Java Fullstack Engineer-6

The Value Maximizer

<div>
 <strong>
  Job Summary
 </strong>
 We are looking for a Senior Data Engineer with strong experience in real-time data streaming using Apache Kafka. The ideal candidate will design and build scalable data pipelines, streaming architectures, and data platforms to support real-time analytics and data-driven applications.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain real-time data pipelines using Apache Kafka
  </li>
  <li>
   Build scalable stream processing solutions using Kafka Streams, Spark Streaming, or Flink
  </li>
  <li>
   Develop and optimize ETL/ELT pipelines for large-scale data processing
  </li>
  <li>
   Integrate streaming pipelines with data lakes, data warehouses, and analytics platforms
  </li>
  <li>
   Work with cross-functional teams including Data Scientists, Product Managers, and Analysts
  </li>
  <li>
   Ensure data reliability, scalability, and performance optimization
  </li>
  <li>
   Implement data governance, monitoring, and alerting for streaming systems
  </li>
  <li>
   Troubleshoot production issues and optimize streaming architecture. Required Skills
  </li>
  <li>
   8+ years of experience in Data Engineering
  </li>
  <li>
   Strong hands-on experience with Apache Kafka / Kafka Streaming
  </li>
  <li>
   Experience with Python, Java, or Scala
  </li>
  <li>
   Strong knowledge of real-time streaming architectures
  </li>
  <li>
   Experience with Spark, Flink, or Kafka Streams
  </li>
  <li>
   Strong SQL and data modeling skills
  </li>
  <li>
   Experience working with cloud platforms (AWS, GCP, or Azure)
  </li>
  <li>
   Familiarity with data lake technologies (S3, Delta Lake, Snowflake, etc.). Preferred Skills
  </li>
  <li>
   Experience with Databricks or Snowflake
  </li>
  <li>
   Experience with containerization (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of CI/CD pipelines and DevOps practices
  </li>
  <li>
   Experience with monitoring tools like Prometheus, Grafana, or Splunk. Nice to Have
  </li>
  <li>
   Experience with event-driven architecture
  </li>
  <li>
   Experience building high-throughput, low-latency data systems
  </li>
 </ul>
</div>


Senior Data Engineer

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Role: Hadoop PySpark, Python, Apache Kafka</b></div><div><b>
Location: Charlotte, NC / New York, NY/ Dallas, TX / Jersey City, NJ</b></div><div><b>
FTE only</b></div><div></div><div><b><br>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div></div><div><b><br>
Primary Skill: Hadoop ecosystem (HDFS, Hive, Spark), PySpark, Python, Apache Kafka</b></div><div><b>
Secondary: UI &ndash; Angular.</b></div><div><b>
Experience: Minimum 9 years</b></div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div></div><div><b><br>
Architectural Leadership:</b></div><div>
? Define end-to-end architecture for data platforms, streaming systems, and web applications.</div><div>
? Ensure alignment with enterprise standards, security, and compliance requirements.</div><div>
? Evaluate emerging technologies and recommend adoption strategies.</div><div></div><div><b><br>
Data Engineering :</b></div><div>
? Design and implement data ingestion, transformation, and processing pipelines using Hadoop, PySpark, and related tools.</div><div>
? Optimize ETL workflows for large-scale datasets and real-time streaming.</div><div>
? Integrate Apache Kafka for event-driven architectures and messaging.</div><div></div><div><b><br>
Application Development :</b></div><div>
? Build and maintain backend services using Python and microservices architecture.</div><div>
? Develop responsive, dynamic front-end applications using Angular.</div><div>
? Implement RESTful APIs and ensure seamless integration between components.</div><div></div><div><b><br>
Collaboration &amp; Leadership:</b></div><div>
? Work closely with product owners, business analysts, and DevOps teams.</div><div>
? Mentor junior developers and data engineers.</div><div>
? Participate in agile ceremonies, code reviews, and design discussions.</div><div></div><div><b><br>
Required Skills &amp; Qualifications:</b></div><div></div><div><b><br>
Technical Expertise:</b></div><div>
? Strong experience with Hadoop ecosystem (HDFS, Hive, Spark).</div><div>
? Proficiency in PySpark for distributed data processing.</div><div>
? Advanced programming skills in Python.</div><div>
? Hands-on experience with Apache Kafka for real-time streaming.</div><div>
? Frontend development using Angular (TypeScript, HTML, CSS).</div><div></div><div><b><br>
Architectural Skills:</b></div><div>
? Expertise in designing scalable, secure, and high-performance systems.</div><div>
? Familiarity with microservices, API design, and cloud-native architectures.</div><div></div><div><b><br>
Additional Skills:</b></div><div>
? Knowledge of CI/CD pipelines, containerization (Docker/Kubernetes).</div><div>
? Exposure to cloud platforms (AWS, Azure, GCP).</div><div></div><div><b><br>
Education:</b></div><div>
? Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</div><div></div><div><b><br>
Experience:</b></div><div>
? 9+ years in software development, with at least 4 + years in architecture and Big Data technologies.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
? BFSI domain experience or large-scale enterprise systems.</div><div>
? Understanding of data governance, security, and compliance standards.</div><div></div><div><b><br>
Soft Skills:</b></div><div>
? Strong analytical and problem-solving abilities.</div><div>
? Excellent communication and leadership skills.</div><p>
? Ability to thrive in a fast-paced, agile environment.</p><p></p>
<p>Required Skills</p>
<p>DATA / PYTHON ENGINEER</p> <p>PYTHON / DEVOPS ENGINEER</p></div>

Hadoop PySpark, Python, Apache Kafka-6

Explore 938+ Gcp data engineer in New York this March. Find roles across top companies and apply now to boost your career.

938 gcp data engineer jobs In New York

GCP Data Engineer

GCP Data Engineer

Data Engineer

Engineer II – Big Data / Apptio / ETL

Java Fullstack Engineer-6

Senior Data Engineer

Hadoop PySpark, Python, Apache Kafka-6