Senior Data Engineer, AVP at DEUTSCHE BANK AKTIENGESELLSCHAFT

, , India -

Full Time

Start Date

Immediate

Expiry Date

10 Apr, 26

Salary

0.0

Posted On

10 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python 3.x, Apache Airflow, Apache Spark, GCP, Cloud Composer, Cloud Dataproc, Dataflow, BigQuery, HDFS, Hive, Impala, Map Reduce, SQL, Shell Script, Terraform, GitHub Action

Industry

Financial Services

Description

Job Description: Job Title: Senior Data Engineer, AVP Location: Pune, India Role Description Engineer who would be working with existing team, responsibilities would be to understand requirements, analyze and refine stories, participating in designing solutions, implement them, test them and take it till production Use TDD, write clean code and refactor constantly. Make sure we are building the thing right. Write code and write it well. Be proud to call yourself a programmer. Use BDD techniques, collaborating closely with users, analysts, developers and other testers. Make sure we are building the right thing. Be ready to work on a range of technologies and components, including services and databases. Act as a generalizing specialist. Help your team to build, test and release software and with minimum of waste. Work to develop and maintain a highly automated Continuous Delivery pipeline. Help create a culture of learning and continuous improvement within your team and beyond Deutsche Bank’s Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a senior data engineer you will be responsible to build ETL pipeline using skill mentioned below. You will get involved in requirement understanding, analysis, design, development, testing, bug fixing & till production rollout of pipeline. Your skills and experience Core: Python 3.x Apache Airflow (DAG + GCP Providers) Apache Spark (PySpark) Following GCP services knowledge is required GCS Cloud Composer Cloud Dataproc Dataflow BigQuery Following Hadoop echo system knowledge is required HDFS Hive / Impala Map Reduce Others: Very good understanding on SQL Good understanding on shell script Basic knowledge of Terraform Working knowledge on GitHub action How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.html We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities. Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division. Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security. More information at: Deutsche Bank Careers (db.com)

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Responsibilities

As a Senior Data Engineer, you will build ETL pipelines and be involved in the entire software development lifecycle from requirement understanding to production rollout. You will collaborate with your team to ensure efficient software delivery with minimal waste.