Deliver data engineering and analysis work using Python, PySpark, SQL and data platforms (Airflow, Trino, Hive). Produce LLD, coordinate offshore teams, follow Agile/Scrum, and work with container platforms (Linux, OpenShift, Kubernetes) and visualization (Superset). Banking domain experience is a plus.
Greetings Everyone
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
What will you do?
- List out the Instructions
What are we looking for?
- Seeking for a strong data analyst who can perform independent.
- Good to have Prior experience in banking domain is plus and understanding the finance various data transactions.
- Should be strong in the below:
Python
Pyspark
SQL
Airflow
Trino
Hive
Offshore Cordination
LLD
Agile Scrum
Linux
Openshift
Kubernentes
Superset
Optional skill set:
Linux
Openshift
Kubernentes
Superset
Same Posting Description for Internal and External Candidates
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and maintain cloud-native data pipelines and ETL/ELT workflows for high-volume trade lifecycle data. Integrate DTCC sources (RTTM, Settlement Web) into a Unified Trade Record, process ISO 15022 messages, manage trade exception databases, optimize SQL Server performance, and ensure data quality, lineage, governance, and observability while collaborating with business stakeholders.
Top Skills:
AWSDockerDtcc RttmDtcc Settlement WebEksEltETLFixFxmlIbm MqIndexingIso 15022KafkaKubernetesRdsRest ApiS3SQLSQL ServerStored ProceduresUnified Trade Record (Utr)
Fintech • Financial Services
Hands-on technical leader who designs, implements, and operates cloud-native, event-driven ELT/ETL and real-time streaming pipelines (Ab Initio, Spark, Kafka) and Lakehouse infrastructure on AWS. Own end-to-end delivery, modernize legacy ETL to cloud-native architectures, enforce engineering standards and CI/CD, mentor engineers, and collaborate with architects and product owners in a SAFe environment for high-throughput, low-latency financial data products.
Top Skills:
Ab InitioAb Initio Continuous FlowsAws EmrAws GlueAws MskAws S3Ci/CdConfluent KafkaContainerized WorkloadsDevOpsHiveIamInfrastructure-As-CodeKafkaLakehouseMySQLOracleRdbmsRedshiftSparkSpark Streaming
Analytics
Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.
Top Skills:
Apache IcebergAWSAws BedrockAws GlueAws KinesisAws S3Aws SnsAws SqsAws Step FunctionsDatabricksDatabricks AiDatabricks WorkflowsDebeziumDelta LakeFeature StoreFivetranKafkaParquetPysparkPythonSnowflakeSnowflake CortexSQL
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
