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Officer- Data Engineer (Big Data, Hadoop, Hive, Python, Spark)

12542 Citicorp Services India Private Limitedpune, India

5 hours ago

Job description

Shape your Career with Citi

We’re currently looking for a high caliber professional to join our team as Officer, Data Engineer -C11- Hybrid based in Pune, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.

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.

Responsibilities

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider

architectural vision

Identify 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

5 to 8 years’ experience implementing data-intensive solutions using agile methodologies

Experience of relational databases and using SQL for data querying, transformation and manipulation

Experience of modelling data for analytical consumers

Ability to automate and streamline the build, test and deployment of data pipelines

First Class Degree in Engineering / Technology (4-year graduate course)

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 Informatica

Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for

data storage and processing

Data Warehousing & Database Management : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,DynamoDB) database design

Data Modeling & Design : Good exposure to data modeling techniques; design,

optimization and maintenance of data models and data structures

Languages : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

DevOps : Exposure to concepts and enablers - CI / CD platforms, version control, automated quality control management

Technical Skills (Valuable)

Java, Spring boot and Maven : Exposure to Spring Boot , Maven, RESTful API

and microservices

Cloud : Good exposure to public cloud data platforms such as S3, Snowflake,

Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

Data Quality & Controls : Exposure to data validation, cleansing, enrichment and data controls

Containerization : Fair understanding of containerization platforms like Docker,

Kubernetes. Certification on any of the above topics would be an advantage

Job Family Group : Technology

Job Family :

Digital Software Engineering

Time Type : Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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Big Data Engineer • pune, India