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Lead Analyst-Azure Databricks, Azure Data Factory, ETL, Medallion Architecture, Power BI
Lead Analyst-Azure Databricks, Azure Data Factory, ETL, Medallion Architecture, Power BICGI • Bangalore, Karnataka, India
Lead Analyst-Azure Databricks, Azure Data Factory, ETL, Medallion Architecture, Power BI

Lead Analyst-Azure Databricks, Azure Data Factory, ETL, Medallion Architecture, Power BI

CGI • Bangalore, Karnataka, India
19 hours ago
Job description

Position Description :

Company Profile :

Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 consultants and professionals across the globe CGI delivers an end-to-end portfolio of capabilities from strategic IT and business consulting to systems integration managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at .

Position : Lead Analyst-Azure Databricks Azure Data Factory ETL Medallion Architecture Power BI

Experience : 6-8 years

Category : Software Development / Engineering

Shift Timing : 12 : 00 PM to 10 : 00 PM

Location : Chennai / Bangalore / Hyderabad / Pune / Mumbai

Position ID : J1125-1345

Employment Type : Full Time

Education Qualification : Bachelors degree in computer science or related field or higher with minimum 5 years of relevant experience.

The ETL Lead Developer will be responsible for designing developing and implementing robust and scalable data architectures and ETL solutions. This role requires deep expertise in Databricks for data processing and Lakehouse architecture Kimball dimensional modelling for data warehousing and Power BI and Microsoft Fabric for data visualization and analytics platform implementation. As a Lead ETL Developer you will lead the design and implementation of scalable secure and high-performance data solutions using the Databricks Lakehouse Platform. You will work with ETL Architects to define architectural standards guide engineering teams and collaborate with stakeholders to align data strategies with business goals. Your role will focus on leveraging Databricks unified analytics capabilities to build enterprise-grade data platforms that support advanced analytics machine learning and real-time data processing.

Your future duties and responsibilities :

Develop and own the end-to-end architecture of data platforms built on Databricks including ingestion transformation storage and consumption layers.

  • . Develop and maintain data models data flow diagrams and other architectural documentation based on Kimball dimensional modelling principles.
  • . Design and implement end-to-end data architectures leveraging Microsoft Fabrics capabilities ( Embedded Power BI integration / implementation).
  • . Design and implement Lakehouse architectures using Delta Lake Unity Catalog and structured streaming.
  • . Proven expertise in implementing data governance using Unity Catalog including fine-grained access control column-level lineage data classification audit logging and centralized metadata management across workspaces and cloud environments
  • . Develop scalable ETL / ELT pipelines using Apache Spark PySpark and Databricks Workflows.
  • . Development of integration of Databricks with enterprise systems such as data catalogs data quality frameworks ML platforms and BI tools.
  • . Design and development of high-performance reporting models and paginated reports configurable inquiries and interactive dashboards using Power BI.
  • . Guide and implement teams in implementing CI / CD pipelines version control and automated testing for Databricks notebooks and jobs.
  • . Provide technical leadership in performance tuning cost optimization and cluster configuration.
  • . Participate in architectural reviews code audits and mentoring sessions to ensure adherence to standards and scalability.
  • . Provide technical leadership and guidance to data engineers and developers.
  • . Collaborate closely with clients business stakeholders and internal teams to translate business requirements into technical solutions.
  • . Stay current with Databricks innovations and advocate for adoption of new features and capabilities.

Required qualifications to be successful in this role :

Must to have Skills-

6 of experience in data architecture and engineering with 5 years in Databricks and Apache Spark. Strong proficiency in SQL & DAX

  • . Experience of migrating Snowflake and other custom EDW / ETL solutions to Databricks.
  • . Experience of migrating different reporting solutions like Cognos SAP BO etc to Power BI and Databricks.
  • . Deep knowledge and practical experience with Kimball dimensional modelling and data warehousing concepts and temporal data structures.
  • . Expertise in designing and deploying ETL / ELT pipelines for large-scale data integration.
  • . Proficiency in Power BI for paginated report and dashboard development including DAX.
  • . Deep expertise in Delta Lake structured streaming PySpark and SQL.
  • . Strong understanding of Lakehouse architecture data mesh and modern data stack principles.
  • . Experience with Unity Catalog Databricks Repos Jobs API and Workflows.
  • . Proven ability to design and implement secure governed and highly available data platforms.
  • . Familiarity with cloud platforms (Azure AWS GCP) and their integration with Databricks.
  • . Experience with CI / CD DevOps and infrastructure-as-code tools (Terraform GitHub Actions Azure DevOps).
  • . Knowledge of machine learning lifecycle MLflow and model deployment strategies.
  • . An understanding of E-R data models (conceptual logical and physical).
  • . Understanding of advanced data warehouse concepts is required
  • . Strong analytical skills including a thorough understanding of how to interpret customer business requirements and translate them into technical designs and solutions.
  • . Strong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups across regions roles and able to interact effectively with all levels.
  • . Strong problem-solving skills. Ability to identify where focus is needed and bring clarity to business objectives requirements and priorities.
  • Good To have Skills :

  • . Experience in working with US clients
  • . Agile Delivery experience and process awareness. Familiarity of working with Jira and / or Azure DevOps.
  • . Microsoft Azure certifications related to Data Engineering or Data Architecture.
  • . US Govt sector Finance or HRM or Budget ERP application experience.
  • Skills : Azure Data Factory

    Azure DevOps

    English

    What you can expect from us :

    Together as owners lets turn meaningful insights into action.

    Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

    You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

    Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

    Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

    Come join our teamone of the largest IT and business consulting services firms in the world.

    Required Experience :

    IC

    Key Skills

    Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics

    Experience : years

    Vacancy : 1

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    Azure Data Factory • Bangalore, Karnataka, India

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