Azure Data Engineer- Senior Consultant

• Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
• Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
• Collaborate with stakeholders to understand project requirements, define scope, and create project plans
• Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
• Monitor progress, identify risks, and implement mitigation strategies
• Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
• Ensure data solutions are scalable, efficient, and aligned with business requirements
• Provide guidance in areas such as data modeling, database design, and data integration
• Align coding standards, conduct code reviews to ensure proper code quality level
• Identify and introduce quality assurance processes for data pipelines and workflows
• Optimize data processing and storage for performance, efficiency and cost savings
• Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards)
• Maintain technical documentation of the project, control validity and perform regular reviews of it
• Ensure compliance with security standards and regulations

• A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous
• Minimum of 9+ years of experience in data engineering or a related field
• Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
• Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment
• Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
• In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
• Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management
• Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies
• Consulting exposure, with external customer focus mindset is preferred
• Must have skills: Databricks, Python, writing SQL queries, Delta lake, Data Lake concept, DWH, ADF, Azure Synapse, spark architecture, Data Governance, Azure Devops

Consulting exposure, with external customer focus mindset is preferred

• Stable employment
• 100% remote
• Flexibility regarding working hours
• Comprehensive online onboarding program with a “Buddy” from day 1
• Cooperation with top-tier engineers and experts
• Unlimited access to the Udemy learning platform from day 1
• Certificate training programs
• Upskilling support
• Grow as we grow as a company
• A diverse, inclusive, and values-driven community
• Autonomy to choose the way you work
• Create our community together
• Activities to support your well-being and health
• Plenty of opportunities to donate to charities and support the environment