Data Engineer

3 weeks ago

PuneGurgaonGurugramBangalore, India ZS Full time
Job Title: Data Engineer

Job Summary:

ZS is a management consulting and technology firm that transforms global healthcare and beyond. As a Data Engineer, you will work side-by-side with a collective of thinkers and experts shaping solutions from start to finish. You will have the freedom to define your own path and pursue cutting-edge work.

Key Responsibilities:

  • Drive self and team effort across all phases of a project lifecycle
  • Translate business requirements into technical terms and design, build, and manage technology solutions that solve business problems
  • Apply development methodologies and best practices to ensure successful and timely completion
  • Partner with project leads and program leads in delivering projects and assist in project management responsibilities
  • Collaborate with team members across the globe and ensure seamless communication and task sharing
  • Manage a team of diverse skill sets and mentor/coach junior members
  • Lead task planning and task distribution across team members and ensure timely completion with high quality
  • Manage direct/indirect client communications as per assigned responsibility
  • Exhibit an outlook to bring continuous improvement, innovation, and capability to learn new areas and drive similar effort in team members

Experience & Qualifications:

  • Big Data Technologies: Proficiency in working with big data technologies, particularly in the context of Azure Databricks, including Apache Spark for distributed data processing
  • Azure Databricks: In-depth knowledge of Azure Databricks for data engineering tasks, including data transformations, ETL processes, and job scheduling
  • SQL and Query Optimization: Strong SQL skills for data manipulation and retrieval, along with the ability to optimize queries for performance in Snowflake
  • ETL (Extract, Transform, Load): Expertise in designing and implementing ETL processes to move and transform data between systems, utilizing tools and frameworks available in Azure Databricks
  • Data Integration: Experience with integrating diverse data sources into a cohesive and usable format, ensuring data quality and integrity
  • Python/PySpark: Knowledge of programming languages like Python and PySpark for scripting and extending the functionality of Azure Databricks notebooks
  • Version Control: Familiarity with version control systems, such as Git, for managing code and configurations in a collaborative environment
  • Monitoring and Optimization: Ability to monitor data pipelines, identify bottlenecks, and optimize performance for both Azure Data Factory and Snowflake
  • Security and Compliance: Understanding of security best practices and compliance considerations when working with sensitive data in Azure and Snowflake environments
  • Snowflake Data Warehouse: Experience in designing, implementing, and optimizing data warehouses using Snowflake, including schema design, performance tuning, and query optimization
  • Healthcare Domain Knowledge: Familiarity with US health plan terminologies and datasets is essential
  • Programming/Scripting Languages: Proficiency in Python, SQL, and PySpark is required
  • Cloud Platforms: Experience with AWS or Azure, specifically in building data pipelines, is needed
  • Cloud-Based Data Platforms: Working knowledge of Snowflake and Databricks is preferred
  • Data Pipeline Orchestration: Experience with Azure Data Factory and AWS Glue for orchestrating data pipelines is necessary
  • Relational Databases: Competency with relational databases such as PostgreSQL and MySQL is required, while experience with NoSQL databases is a plus
  • BI Tools: Knowledge of BI tools such as Tableau and PowerBI is expected
  • Version Control: Proficiency with Git, including branching, merging, and pull requests, is required
  • CI/CD for Data Pipelines: Experience in implementing continuous integration and delivery for data workflows using tools like Azure DevOps is essential

Additional Skills:

  • Deep understanding of data management best practices and data analytics
  • Up-to-speed with latest technologies related (but not limited to) to cloud platform services, visualization, data management
  • Excellent verbal and written communication, with appropriate and logical structuring of thoughts process during discussion/presentation
  • Lead project teams in driving end-to-end activities to meet set milestones and provide necessary mentorship/guidance for team growth
  • Ability to distill complex concepts into easy-to-understand frameworks and presentations
  • Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams
  • Ability to work within a virtual global team environment and contribute to the overall timely delivery of multiple projects
  • Willingness to travel to other global offices as needed to work with client or other internal project teams

Perks & Benefits:

ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths and collaborative culture empower you to thrive as an individual and global team member.

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

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