Big Data Engineer Assistant Vice President

Year    MH, IN, India

Job Description

The Role
The Data Engineer is accountable for developing high quality data products to support the
Bank's regulatory requirements and data driven decision making. A Data Engineer will serve
as an example to other team members, work closely with customers, and remove or
escalate roadblocks. By applying their knowledge of data architecture standards, data
warehousing, data structures, and business intelligence they will contribute to business
outcomes on an agile team.
ResponsibilitiesDeveloping and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider

architectural visionIdentify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models, Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 9 to 11 years' experience implementing data-intensive solutions using agile

methodologiesExperience of relational databases and using SQL for data querying, transformation

and manipulationExperience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines

in cloud native technologies and patternsA passion for learning new technologies, and a desire for personal growth, through

self-study, formal classes, or on-the-job trainingExcellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components

independently
Technical Skills (Must Have)ETL:Hands on experience of building data pipelines. Proficiency in two or more data

integration platforms such as Ab Initio, Apache Spark, Talend and InformaticaBig Data: Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for

data storage and processingData Warehousing & Database Management: Expertise around Data

Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,
DynamoDB) database designData Modeling & Design: Good exposure to data modeling techniques; design,

optimization and maintenance of data models and data structuresLanguages: Proficient in one or more programming languages commonly used in

data engineering such as Python, Java or ScalaDevOps: Exposure to concepts and enablers - CI/CD platforms, version control,

automated quality control managementData Governance: A strong grasp of principles and practice including data quality,

security, privacy and compliance
Technical Skills (Valuable)Ab Initio: Experience developing Co>Op graphs; ability to tune for performance.
Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT,
Data Profiler and Conduct>IT, Control>Center, Continuous>FlowsCloud: Good exposure to public cloud data platforms such as S3, Snowflake,

Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying
architectures and trade-offsData Quality & Controls: Exposure to data validation, cleansing, enrichment and

data controlsContainerization: Fair understanding of containerization platforms like Docker,

KubernetesFile Formats: Exposure in working on Event/File/Table Formats such as Avro,

Parquet, Protobuf, Iceberg, DeltaOthers:Experience of using a Job scheduler e.g., Autosys. Exposure to Business

Intelligence tools e.g., Tableau, Power BI
Certification on any one or more of the above topics would be an advantage.
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Job Family Group:



Technology
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Job Family:




Digital Software Engineering
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Time Type:




Full time
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Most Relevant Skills



Please see the requirements listed above.
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Other Relevant Skills



For complementary skills, please see above and/or contact the recruiter.
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Job Detail

  • Job Id
    JD4199631
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MH, IN, India
  • Education
    Not mentioned
  • Experience
    Year