Senior Data Eng

Seniorr Data Engineer

Summary

We are looking for somebody who is passionate about technology and its implementation in large-scale enterprise environments. If you thrive on developing solutions to interesting and challenging problems then we’d love to talk to you!

The role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes

Roles & Responsibilities:

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (GCP preferred) to build scalable and efficient data solutions
• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate and communicate effectively with product teams

Basic Qualifications:

Master's degree / Bachelor's degree 

Experience: 5 to 6 years of experience in Computer Science, IT or related field

Must-Have Skills:

• Hands on experience with bigdata technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on bigdata processing
• Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
• Excellent problem-solving skills and the ability to work with large, complex datasets
• Strong understanding of data governance frameworks, tools, and standard processes.
• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of Python/R, Databricks, SageMaker, OMOP.

Professional Certifications:

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)
• Certified Data Scientist (preferred on Databricks or Cloud environments)
• Machine Learning Certification (preferred on Databricks or Cloud environments)
• SAFe for Teams certification (preferred)

Benefits You Will Get

• Competitive Salary Package
• Medical Insurance
• Exposure to numerous domains and projects
• You will have a chance for professional training and certifications, all company-sponsored
• Clear and defined career paths for you and professional development and exposure assured in all the latest technologies.

Hiring/Selection Process

· 1 HR Interview followed by 1 Technical Interview

About Company - FIS Clouds

FIS Clouds (www.fisclouds.com) is an IT Services Company, fast emerging as a global leader in digital technology and transformation solutions for enterprises ranging from Monoliths to Hybrid and Cloud transformation. We operate on a global scale, with a diverse talent base, and have our global offices in India, the US, the UK, and Jakarta, Indonesia. 

We at FIS Clouds strongly believe in Agility, Speed, and Quality which can be found in the DNA of our company. We apply constant innovation to solve customer challenges and increase business outcomes. FIS brings extensive experience in Cloud Technologies including, Public Cloud, Private Cloud, Multi-Cloud, Hybrid Cloud, and DevOps and Java. Additionally, FIS has a lot of experience in Data Analytics and Cloud Automation.

Note: The package is no bar for the desired candidate. Earn your desired package by proving yourself.