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In this role, you will partner with leading banking, capital markets, and insurance organizations to design and implement modern data strategies, governance frameworks, and AI-enabled solutions that drive measurable business outcomes. Experience with Snowflake, Databricks, Python, SQL, and modern da

Job DescriptionBenefits: • Hybrid, • Long Term Core Skills: Strong AWS Services, Python/PySpark, Advanced SQL Submission Details: Resume, LinkedIn URL, Work Authorization, Location Details Job Description Our esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives. This role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact. Key Responsibilities • Develop and maintain scalable ETL pipelines within the AWS ecosystem., • Conduct ETL testing to ensure data integrity, accuracy, and performance., • Lead and support large-scale cloud migration projects., • Use Python (primary language) along with SQL and PySpark to develop data processing and automation solutions., • Orchestrate data workflows using Apache Airflow (including MWAA)., • Collaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies., • Monitor, troubleshoot, and optimize pipelines for reliability and performance., • Document design, conduct code reviews, and apply test-driven development (TDD) practices., • Work in Agile environments, participating in sprint planning and daily stand-ups., • Ensure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed Qualifications • 812 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development., • 5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns., • 5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow., • 5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda)., • Solid understanding of core statistical principles, data modeling, and data security best practices., • 5+ years working in Agile development with unit testing, TDD, and design documentation., • 2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms., • Excellent problem-solving skills, with the ability to troubleshoot complex data and performance issues., • Strong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas). Flexible work from home options available.

Job DescriptionPython Developer – data engineering – GCP – Working Exp with LLMs etc building custom Python applications for large-scale data building pipelines for data processing and deploying in GCP Solid foundation in Machine Learning Extensive experience working with Large Language Models (LLMs) such as Gemini, Claude, and GPT with in-depth understanding of tokenization, embeddings, and context management. Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google Cloud environments (e.g., BigQuery, Cloud Run).

Job Description Title : ServiceNow Developer Location: Alpharetta GA & NYC -- Day 1 Onsite Duration: 12 Months+ Client: Virtusa Polaris/Morgan Stanley Job Description : 8+ With relevant SNOW architecture experience Experience developing in ServiceNow (JavaScript, workflows, update sets) Good knowledge of CMDB module including Discovery, Service Mapping, Asset management, Orchestration etc. Strong background in software development, software architecture, data structures, algorithms, and SDLC models Proficiency developing in one or more languages such as Java or C# Experience with scripting languages such as Python, especially under Unix/Linux Knowledge of database application concepts, SQL, query optimization

Diverse Database Experience: Proficiency with various database systems, including relational databases like PostgreSQL and NoSQL databases like MongoDB. We are seeking a Senior Python Data Engineer with deep expertise in building scalable, production-grade data pipelines and models, particularly wit

Job Title: Data Engineer(python, pyspark, databricks). Data Engineer SQL, Python and Pyspark Expert (Onsite Dallas, TX). Document data flows, logic, and transformation rules.

Deep understanding of data engineering fundamentals, including database architecture and design, ETL, etc. Our client is seeking an Azure Data Engineer to join their team! This position is located in Irving, Texas. Strong technical skills in SQL, PySpark/Python, Azure, and Databricks.

Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.

Job DescriptionJob Title:Data Engineer (Python, Spark, Cloud) Location: Iselin NJ or Charlette NC Pay :$90000 per year DOE Term : Contract Work Authorization: US Citizens only ( may need Security clearance in future) Job Summary: We are seeking a mid-level Data Engineer with strong Python and Big Data skills to design, develop, and maintain scalable data pipelines and cloud-based solutions. This role involves hands-on coding, data integration, and collaboration with cross-functional teams to support enterprise analytics and reporting. Key Responsibilities: • Build and maintain ETL pipelines using Python and PySpark for batch and streaming data., • Develop data ingestion frameworks for structured/unstructured sources., • Implement data workflows using Airflow and integrate with Kafka for real-time processing., • Deploy solutions on Azure or GCP using container platforms (Kubernetes/OpenShift)., • Optimize SQL queries and ensure data quality and governance., • Collaborate with data architects and analysts to deliver reliable data solutions.Required Skills:, • Python (3.x) – scripting, API development, automation., • Big Data: Spark/PySpark, Hadoop ecosystem., • Streaming: Kafka., • SQL: Oracle, Teradata, or SQL Server., • Cloud: Azure or GCP (BigQuery, Dataflow)., • Containers: Kubernetes/OpenShift., • CI/CD: GitHub, Jenkins.Preferred Skills:, • Airflow for orchestration., • ETL tools (Informatica, Talend)., • Financial services experience.Education & Experience:, • Bachelor’s in Computer Science or related field., • 3–5 years of experience in data engineering and Python development.Keywords for Visibility: Python, PySpark, Spark, Hadoop, Kafka, Airflow, Azure, GCP, Kubernetes, CI/CD, ETL, Data Lake, Big Data, Cloud Data Engineering. Reply with your profiles to this posting and send it to

Job Description Role: Senior Data Engineer Location: Dallas, TX – Remote Duration: 12 months Senior Data Engineer will be responsible for leading data engineering and ETL projects, mentoring team members, and architecting and developing ETL solutions. Also, should ensure development standards are maintained and must be able to collaborate with internal and external customers and coordinate the work of team members. Essential Job Functions: · Manage & deliver ETL solutions by liaising with business users, architects and understanding the business requirements · Help design and develop technical and business solutions · Should be able to coordinate & work with offshore developers · Develop technical solutions which may involve a variety of data development tools, preferably SQL Server or Informatica · Design, develop, test and support from SQL stored procedures, views, Informatica workflows, Control-M flows or script objects · Executes unit and system test scripts, analyzes, captures and publishes test results · Mentors junior staff members in all areas of database engineering. Guide team members in setting expectations and monitor their progress · Identifies opportunities to create efficiencies in technical work streams as well as in operational procedures of team Must have skills: · Informatica Power Center · SQL & stored procedure development in MS SQL Server or Oracle · Enterprise Job Schedulers, preferably with Control-M Nice to have skills: · Informatica Data Quality · PowerShell, Python scripting · Big Data technologies

Job Description Title : ETL Tester Location: Remote Duration: 12 Months+ Job Description : Must To Have Hands on knowledge in python ETL Testing Good to have b. APIs testing c. experience with test automation d. AWS s3 GxP is not needed/optional. DB testing is one of the key stills mentioned. Resource need not be in person – this is a remote role. So anyone who can provide 100% EST overlap is good.

Job Description Role – Python Developer Type – Contract, 3-7 years of experience Location – Dallas, TX (Local and Onsite) This position requires candidates who can attend in-person interviews. We are looking for strong candidates to join our team! LinkedIn profile is a must. Requirements Proven experience in Python development. Familiarity with cloud platforms, particularly AWS. Experience with CI/CD tools such as Jenkins or GitHub Actions. Ability to automate tests and scripting tasks. Strong communication skills and teamwork capability. Benefits Strong proficiency in Python programming. Hands-on experience with AWS services and basic Cloud concepts. Understanding of CI/CD tools such as Jenkins, GitHub Actions, or AWS CodePipeline. Knowledge of test automation and scripting. Excellent communication and collaboration skills.

Job DescriptionBenefits: • Hybrid, • Competitive salary Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency. Key Responsibilities • Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies., • Assemble large, complex datasets that meet business and technical requirements., • Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows., • Ensure data quality and integrity across multiple sources and targets., • Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects., • Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews., • Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security., • Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups). Requirements • 812 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development., • 5+ years of hands-on coding with Python (primary), PySpark, and SQL., • Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM., • Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes., • Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx)., • Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet)., • Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka)., • CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML)., • Familiarity with unit testing, code quality tools, containerization, and security best practices., • Solid Agile development background, with experience in Agile ceremonies and practices. Flexible work from home options available.

Job Description Title : Senior Pyspark Developer Location: Remote Duration: 12 Months+ Job Description : One of our clients is looking for Senior Python Pyspark Developer

Job Description Senior Program Manager * Location: Texas * Project role: Senior program manager * Skills: Python • Secondary Skills:, • NoSQL, • SQL, • Cloud Job Summary To provide leadership and direction for planning, execution, and delivery of multiple complex IT projects within the program as per agreed schedule| budget and quality. • Key Responsibilities 1. To drive value creation in the engagement, proactively identify and implement process enhancements, optimizing program efficiency through streamlined workflows., 2. To build strong relationships with key Program Partners / Stakeholders and manage their interests for smooth integration and implementation of the program and achievement of its objectives., 3. To optimize engagement profitability, strategically managing diverse variables, pinpointing improvement opportunities, and implementing targeted strategies to elevate overall project profitability., 4. To proactively engage with the client to understand the business engagements, 5. To lead and inspire cross-functional teams, offering guidance and fostering collaboration for high-performance outcomes., 6. To proactively identify, assess, and address risks, issues, and escalations by developing robust mitigation and contingency plans, ensuring seamless program delivery.