Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 114 days ago

Data Engineer - Python

Workable (global search)109,826 open roles

Where
Bengaluru, KA, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Engineer - PythonWorkable (global search) · Bengaluru, KA, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 114 days ago

Workable (global search) median: 2 days open

The posting

The candidate should also have good knowledge of ETL design and be able to develop optimized code. Working experience on PySpark and Scala programming is an added advantage.

Responsibilities

· Conduct detailed validation of functional specifications (eventually contribute to functional specifications if needed).

· Initiate, build, and contribute to technical specifications.

· Perform technical and/or data analysis to elaborate technical Specifications documents for the different IT stakeholders (IT 2S data provider, CIB datahub, AML dev teams)

· Assist the technical stakeholders to validate the solutions and validate the technical tests planned.

· Coordinate with the different stakeholders to implement the changes/evolutions in the delay, cost and quality expected.

· Control the completion of the technical tests and associated deliverables.

· Support and contribute to the releases organization.

· Ensure data ingestion controls and technical tests automation developments are done according to expectations

  • Implement DevOps practices to ensure efficient and reliable deployment of data pipelines and ETL processes,

Direct Responsibilities

  • Understand business requirement from business analysts, users and should have analytical mind to understand existing process and purpose better solutions
  • Work on TSD designs, development, testing, deployment, support
  • Suggest and implement innovative approach.
  • Should be adaptable to new technology or methodology

Contributing Responsibilities

  • Contribute towards knowledge sharing initiatives with other team members
  • Contribute documentation of solutions and configurations of the models

Technical & Behavioral Competencies

Mandatory

  • 3+ years of experience in Corporate and Institutional Banking IT, with a full understanding of the Corporate Banking and/or Securities Services activity.
  • Good understanding of AML monitoring tools and data needed for AML detection models.
  • Good understanding of Data Analysis and Data Mapping processes.
  • Extensive experience in working with functional and technical teams, defining requirements (mainly technical specification), establishing technical strategies, and leading the full life cycle delivery of projects.
  • Experience in Data-Warehouse architectural design providing efficient solutions in Compliance AML data domains.
  • Good Experience in Python developments, Oralce PL/SQL development
  • Excellent communication skills with the ability to explain complex technical issues in a simple concise manner.
  • Strong coordination and organizational skills.
  • Multi-tasking capabilities

All these qualifications are a plus:

  • Knowledge of Corporate Banking and Securities Services transactional data sources, flowing through the Compliance and Regulatory frameworks is a plus.
  • Knowledge of Swift message and/or MX message formats and relevance to AML monitoring
  • Experienced in implementing various data lineage mechanisms to meet regulatory requirements.

Success in the role is heavily dependent on the ability to show leadership, proactivity, and work cooperatively with both functional and technical teams, onshore and offshore

Specific Qualifications:

Python, Oracle,

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

  • Programming & Scripting (Primary)
  • Advanced Python (3.x) – OOP, typing, async, performance profiling
  • Familiarity with Python data‑engineer libraries: pandas, pyarrow, sqlalchemy, cx_Oracle, oracledb,polars, duckdb
  • Shell scripting (bash, PowerShell) for automation and orchestration
  • Oracle Database Expertise (Primary)
  • Oracle Database (11g/12c/19c/21c) administration basics
  • SQL proficiency: complex queries, analytic functions, hierarchical queries, PL/SQL development
  • Data modeling (ER, dimensional) and schema design for OLTP & OLAP
  • Performance tuning: indexing, partitioning, optimizer hints, AWR/ASH analysis
  • Oracle Data Pump, SQL*Loader, External Tables
  • Data Integration & ETL (Primary)
  • Design and implementation of ETL/ELT pipelines in Python (e.g., polars,pandas, pySpark, dbt)
  • Knowledge of messaging/streaming (Kafka, RabbitMQ) for real‑time ingestion
  • Data orchestration platforms: Apache Airflow, Prefect, or Azure Data Factory
  • Big Data & Distributed Processing (Secondary)
  • Working knowledge of Apache Spark (PySpark) and its integration with Oracle
  • Experience with cloud‑based big‑data services (AWS EMR, Azure Synapse, GCP Dataproc)
  • Cloud & DevOps (Secondary)
  • Oracle Cloud Infrastructure (OCI) services: Autonomous DB, Object Storage, Functions
  • Containerization (Docker) and orchestration (Kubernetes) for scalable pipelines
  • CI/CD pipelines (Git, Jenkins, GitHub Actions) for automated testing and deployment
  • Infrastructure‑as‑Code tools (Terraform, OCI Resource Manager)
  • Data Quality & Governance (Primary)
  • Implementing data validation, profiling, and cleansing in Python
  • Familiarity with data lineage, metadata management, and catalog tools (Apache Atlas, Collibra)
  • Understanding of GDPR, CCPA, and other data‑privacy regulations
  • Testing & Monitoring (Primary)
  • Unit & integration testing frameworks (pytest, unittest) for data pipelines
  • Monitoring & alerting (Prometheus, Grafana, OCI Monitoring) of ETL jobs and database health
  • Version Control & Collaboration (Secondary)
  • Proficient with Git (branching, pull‑requests, code reviews)
  • Agile methodologies (Scrum/Kanban) and ticketing systems (Jira, Azure Boards)

Behavioral Skills:

  • Ability to collaborate / Teamwork
  • Communication skills - oral & written
  • Creativity & Innovation / Problem solving
  • Ability to share / pass on knowledge

Education Level: Bachelor Degree or equivalent

Location: Bangalore

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.