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Healthtech • Information Technology • Telehealth
The Data Engineer Associate will assist in developing data pipelines, ensuring data quality, collaborating with stakeholders, optimizing workflows, and supporting data infrastructure.
Top Skills:
AirflowJavaScriptMySQLPbs/TorquePostgresPythonSlurmSnowflakeSQL
Fintech • Payments • Software • Financial Services • Automation
Seeking an experienced Data Engineer to design and maintain data pipelines, ensure data quality, and optimize real-time data processing. Requires expertise in SQL, Python, big data tools, and cloud platforms.
Top Skills:
AirflowAWSAzureBigQueryCi/CdData LakeDockerGCPGitHadoopHiveKafkaKubernetesPythonRedshiftScalaSnowflakeSparkSQL
Software
As a Data Engineer III, you'll design and maintain cloud-based big data infrastructure, implement data models and ETL pipelines, and mentor team members while ensuring data integrity and quality.
Top Skills:
AirflowAuroraAWSBig DatabaseData WarehousingEmrETLHadoopJavaPythonRRedshiftS3SparkSQL
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.
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
•First Class Degree in Engineering/Technology (4-year graduate course)
•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
•Experience in cloud native technologies and patterns
•A passion for learning new technologies, and a desire for personal growth, through
self-study, formal classes, or on-the-job training
•Excellent communication and problem-solving skills
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)
•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>Flows
•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
•File Formats:
Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
•Others: Basics of Job scheduler like Autosys. Basics of Entitlement management
•Certification on any of the above topics would be an advantage.
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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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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
