Accenture | Jobs | ACN – Applied Intelligence – Solutions.AI – Data Engineering – 06 | BigDataKB.com | 02-02-22

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    Job Location: Mumbai

    Resourceful and motivated individual for leading the Solution.AI Analytics team. As a Senior Manager, you need to help the clients with Analytical solution at every stage with E2E building and deployment of data base, models, and reporting KPIs. To achieve this goal successfully, he/she should be able to manage team of diverse skill sets (programmer, cloud analyst, Data Engineers etc.), mentor/coach the junior members in the team, QC the E2E process, drive value by providing best solution, bring new opportunities & new clients across the globe and achieve & increase yearly sales target.

    Responsibilities/Authorities

    • Strong expertise on one or more busines/functional domain
    • Lead the project deliverables such as business case development, solution vision and design, user requirements, solution mockup, prototypes
    • Exhibit outlook to bring continuous improvement, innovation, and exhibit capability to learn new areas (technology, business domain, project management process)
    • Ability to take the decision to ensure smooth delivery for multiple customer engagements
    • Partner with Project Manager in delivering projects and assist in project management responsibility like – project plans, people management, staffing and risk mitigation
    • Ability to work on Business development proposals to generate opportunity and grow the team
    • Excellent communication & Leadership Skills with ability to thrive in a fast paced, dynamic environment and operate under stringent timelines
    • Collaborate with other Stake holders across the globe and ensure seamless communication & Delivery
    • Deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.

    JOB REQUIREMENTS – Overall Experience

    • Minimum 12+ Years of Experience
    • Experience in handling multiple data engineering teams across multiple customers
    • Deployment of E2E solution for more that 1 client in more than 1 geography
    • Industry Experience in more than 1 domain
    • Hands on experience in build and deployment of Data pipelines & creation of Data Lake following best practices
    • Hands on experience in Design, build & maintain efficient, reusable & reliable solutions
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases
    • Strong programming skills including Python, Scala, Java etc.
    • ETL with informatica, snowflake and other schemas
    • Experience with various Cloud platforms like AWS, Azure, GCP and exposure to Containers (Dockers) & services like (EC2, EMR, RDS, Redshift, Glue, Athena, CI/CD, Lambda)
    • Understanding Streaming data processing and exposure to related tools like Kafka, Apache Flink, Amazon Kinesis
    • Understanding Data Orchestration and exposure to related tools like Airflow, Stitch
    • Understand concepts of Data Warehousing solutions
    • Knowledge on Data Privacy, Data Governance, Data Compliance & Security
    • Data Visualization Skills
    • Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical people

    JOB ROLES AND KEY SKILLS REQUIRED

    Requested Role Role Category Role Description
    Data Engineer Data Engineering Description: The data engineer will have responsibility for all data ingress into data lake/DWH, maintain the correct content, format, and integrities all through the lifetime of such data. Develop and deliver visualization dashboards/ data solutions to support business needs & requirements by creating and optimizing data pipelines and data models for analytical solution’s data lake / data warehouses towards specific micro services.

    Responsibilities:
    • Acumen for business flow understanding and expertise in data preparation and pre-processing
    • SQL knowledge and experience working with relational databases, query authorizing (SQL) as well as a variety of other databases/date-sources.
    • Data exploration tools like Tableau is preferred.
    • Big data tools like Hadoop, Spark, Kafka, etc.
    • Data and Model pipeline and workflow management tools.
    • Stream-processing systems like Storm, Spark-Streaming, etc.
    • Object-oriented/object function scripting languages like Python, Java, C++, Scala, etc.
    Technical Skills:
    • Structured Query Language (SQL)
    • ETL with informatica, snowflake and other schemas
    • Scala, Spark
    • Teradata, Hive, Impala
    • Cloudera
    • Kudu, Kafka, hortonworks
    • Cloud – AWS, GCP, Azure
    • Microsoft Excel
    • Critical Thinking
    • R or Python-Statistical Programming is good to have
    • Data Visualization
    • Presentation Skills

    Qualifications

    EDUCATION QUALIFICATION

    B.Tech (BE)/M.Tech(ME) Degrees from Top Colleges in India or Abroad, Equivalent Degrees in computer science.

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