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1–2 jobs· newest first

Custom Software Engineering Lead
Accenture · Bengaluru, India
On-site · Full-time · Lead
Data Engineer- Specialist- Financial Services
Publicis Groupe Holdings B.V · Bucharest, Romania

+10K new in the last hour

Custom Software Engineering Lead

Accenture · Posted Nov 9, 2026

Bengaluru, Karnataka, India
On-site
Full-time · Lead
8+ years

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The role involves owning the technical direction and architecture of custom software solutions, leading teams through design and delivery, and ensuring code quality, scalability and performance.

Responsibilities

Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead the establishment and enforcement of development standards to maintain code quality and consistency

Requirements

15 years full time education

Skills

AWS BigData cloud-based data processing and storage solutions distributed computing frameworks big data ecosystems scalable and high-performance data architectures data security and compliance best practices in cloud environments troubleshooting and optimizing complex data workflows AWS

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Data Engineer- Specialist- Financial Services

Publicis Groupe Holdings B.V · Posted Nov 5, 2024

Bucharest, Bucharest, Romania

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Lead a team to design, build, and maintain data pipelines and data platforms for enterprise clients.

Responsibilities

Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
Work with big data technologies and distributed systems to process and transform large datasets
Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
Partner with data scientists and analysts to deliver clean, well-structured, and accessible data

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Skills

ETL/ELT design and implementation Big data ecosystems (Spark, Hadoop, Kafka, Flink)Cloud platforms (Azure, AWS, GCP)Modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse)

Relational and non-relational databases

Data modeling, schema design, and data partitioning

Workflow orchestration tools (Airflow, Data Factory)

Version control (Git)

CI/CD practices

Agile development methodologies

Benefits

Flexible schedule
Medical subscription
Meal tickets
Extra vacation days - starting with 25 vacation days

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