Sales and Marketing Coordinator

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

We are seeking a motivated and detail-oriented Intern to join our Talent Acquisition team. This internship offers hands-on experience in the recruitment process, from sourcing candidates to coordinating hiring processes. An ideal candidate is eager to learn, highly organized, and passionate about Talent Acquisition.

Key Responsibilities:

• Assist in sourcing and screening candidates through job portals, LinkedIn, and social media.
• Support the team in reviewing resumes and conducting initial candidate assessments.
• Maintain and update the applicant tracking system (ATS).
• Post job openings on various job boards and company career pages.
• Schedule and coordinate interviews between candidates and hiring managers.
• Provide administrative support to the recruitment team.

Qualifications & Skills:

• MBA in HR / Business Administration, or a related field.
• Strong communication and interpersonal skills.
• Detail-oriented with excellent organizational abilities.
• Ability to handle confidential information with professionalism.
• Proficiency in Google Suite or Microsoft Office (Word, Excel, Outlook).
• Familiarity with LinkedIn and job portals is a plus.

Role Summary

As a Data Engineer, you will be an integral part of our Data Engineering team supporting an event-driven server less data engineering pipeline on AWS cloud, responsible for assisting in the end-to-end analysis, development & maintenance of data pipelines and systems (DataOps). You will work closely with fellow data engineers & production support to ensure the availability and reliability of data for analytics and business intelligence purposes.

Requirements:

·      Around 4 years of working experience in data warehousing / BI system.

·      Strong hands-on experience with Snowflake AND strong programming skills in Python

·      Strong hands-on SQL skills

·      Knowledge with any of the cloud databases such as Snowflake,Redshift,Google BigQuery,RDS,etc.

·      Knowledge on debt for cloud databases

·      AWS Services such as SNS, SQS, ECS, Docker, Kinesis & Lambda functions

·      Solid understanding of ETL processes, and data warehousing concepts

·      Familiarity with version control systems (e.g., Git/bit bucket, etc.) and collaborative development practices in an agile framework

·      Experience with scrum methodologies

·      Infrastructure build tools such as CFT / Terraform is a plus.

·      Knowledge on Denodo, data cataloguing tools & data quality mechanisms is a plus.

·      Strong team player with good communication skills.

Overview Optisol Business Solutions

OptiSol was named on this year's Best Companies to Work for list by Great place to work. We are a team of about 500+ Agile employees with a development center in India and global offices in the US, UK (United Kingdom), Australia, Ireland, Sweden, and Dubai. 16+ years of joyful journey and we have built about 500+ digital solutions. We have 200+ happy and satisfied clients across 24 countries.

Benefits, working with Optisol

·      Great Learning & Development program

·      Flextime, Work-at-Home & Hybrid Options

·      A knowledgeable, high-achieving, experienced & fun team.

·      Spot Awards & Recognition.

·      The chance to be a part of next success story.

·      A competitive base salary.

More Than Just a Job, We Offer an Opportunity To Grow. Are you the one, who looks out to Build your Future & Build your Dream? We have the Job for you, to make your dream comes true.

Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
5. Optimize and tune data pipelines for performance, scalability, and reliability.
6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
7. Implement security measures and best practices to protect sensitive data.
8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
4. Solid understanding of data analytics concepts and techniques.
5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
6. Proficiency in programming languages such as Python and SQL.
7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
8. Excellent analytical and problem-solving skills with attention to detail.
9. Strong communication and collaboration skills to work effectively with cross-functional teams.
10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• Certifications in Power BI or related technologies.
• Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
• Knowledge of machine learning concepts and frameworks.

10+ years of experience in SQL Server Administration

Should be hands on

Able to handle customer communication and expectation management

Proactively plan and implement the project/support activities

Focus on continuous improvements
Must have experience in managing team of SQL Server DBAs
should have good customer and client management skills
should have good communication skills

• Work towards improving the following 4 verticals - scalability, availability, security, and cost, for company's workflows and products.
• Help in provisioning, managing, optimizing cloud infrastructure in AWS (IAM, EC2, RDS, CloudFront, S3, ECS, Lambda, ELK etc.)
• Work with the development teams to design scalable, robust systems using cloud architecture for both 0-to-1 and 1-to-100 products.
• Drive technical initiatives and architectural service improvements.
• Be able to predict problems and implement solutions that detect and prevent outages.
• Mentor/manage a team of engineers.
• Design solutions with failure scenarios in mind to ensure reliability.
• Document rigorously to keep track of all changes/upgrades to the infrastructure and as well share knowledge with the rest of the team
• Identify vulnerabilities during development with actionable information to empower developers to remediate vulnerabilities
• Automate the build and testing processes to consistently integrate code
• Manage changes to documents, software, images, large web sites, and other collections of code, configuration, and metadata among disparate teams

Build large scale web applications with Single Page Applications (SPA) architecture.

Experience to develop MV(C) based front end frameworks.

Experience with JavaScript, HTML, CSS.

Experience with JavaScript frameworks like Angular, preferably React.JS.

Good understanding of asynchronous request handling, partial page updates, AJAX and Redux.

Proficient with Chrome Developer Tools.

Additional Preferred Qualifications

Experience in Restful API services.

Experience in using performance, analytics and UX tools.

Experience with pull request process and contributing to OSS on github.com.

Experience with unit testing frameworks Mocha and Chai.

Experience with Jenkins.