Manager Data Engineering_DE-Big Data_Azure

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

As Manager, of Data Engineering, you will be responsible for translating client requirements into design, architecting, and implementing Cloud & Non-Cloud based big data solutions for clients. Your role will be focused on delivering high-quality solutions by independently driving design discussions related to below aspects:

• Data Ingestion, Transformation & Consumption,
• Data Storage and Computation Frameworks,
• Performance Optimizations,
• Infrastructure, Automation & Cloud Computing,
• Data Governance & Security

The role requires a hands-on technologist with expertise in Big Data solution architecture and with a strong programming background in Java / Scala / Python, should have experience in creating Data Ingestion pipelines for streaming and batch datasets, creating ETL/ELT data pipelines using distributed computing frameworks like Spark, Strom, Flink, etc, orchestrating data pipelines, should have experience in setting up secure big data platform. You are also required to have hands-on knowledge of at least one of the AWS, GCP, and Azure cloud platforms.

Role & Responsibilities:

1. Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modeling, data processing, visualization, design, and implementation.

2. Lead a team to deliver high-quality big data technologies-based solutions either on-premise or on Cloud. Manage functional & non-functional scope and quality

3. Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality

4. Manage and provide technical leadership to a data program implementation based on the requirement using agile technologies

5. Participate in workshops with clients and align client stakeholders to optimal solutions.

6. Consulting, Soft Skills, Thought Leadership, Mentorship, etc.

7. People management, contributing to hiring and capability building

Qualifications

• Overall 8+ years of IT experience with 3+ years in Data related technologies 
• 3+ years of experience in Big Data technologies and expertise of 1+years in data-related Cloud services (AWS / Azure / GCP) and delivered at least 1 project as an architect.
• Mandatory to have knowledge of Big Data Architecture Patterns and experience in the delivery of end-to-end Big data solutions either on-premise or on the cloud. 
• Expert in Hadoop eco-system with one or more distributions like Cloudera and cloud-specific distributions
• Expert in programming languages like Java/ Scala and good to have Python
• Expert in one or more big data ingestion tools (Sqoop, Flume, NiFI etc), distributed messaging and ingestion frameworks (Kafka,Pulsar, Pub/Sub, etc), and good-to-know traditional tools like Informatica, Talend, etc.
• Expert in at least one distributed data processing framework: Spark (Core, Streaming, SQL), Storm or Flink, etc.
• Should have worked on MPP style query engines like Impala , Presto, Athena, etc
• Should have worked on any of NoSQL solutions like Mongo DB, Cassandra, HBase, etc, or any of Cloud-based NoSQL offerings like DynamoDB, Big Table, etc.
• Should have a good understanding of how to set up Big data cluster security – Authorization/ Authentication, Security for data at rest, and data in Transit.
• Should have a basic understanding of how to manage and set up Monitoring and alerting for Big data clusters. Job Title: Manager – Data Engineering
• Should have worked on any of Orchestration tools – Oozie, Airflow, Ctr-M, or similar.
• Worked on Performance Tuning, Optimization, and Data security

  Competency

1. Excellent understanding of data technologies landscape/ecosystem.

2. Well-versed with the pros and cons of various database technologies like Relational, NoSQL, MPP, and Columnar databases

3. Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and Kubernetes engine would be an added advantage.

4. Well-versed in in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models

5. Exposure to data governance, catalog, lineage, and associated tools would be an added advantage.

6. Well-versed with Software as a service, Platform as a service, and Infrastructure as a service concept and can drive clients to a decisions

7. Thought Leadership – blogs, keynote sessions, POV/POC, hackathon

8. Certification in either one of the cloud platforms or big data technologies

Personal Attributes:

• Strong analytical and problem-solving skills
• Strong communication skills in verbal, written and visual presentations
• Strong coordination and negotiation skills
• Self-starter who requires minimal oversight
• Ability to prioritize and manage multiple tasks
• Multi geo experience and distributed delivery experience in large programs

Additional Information

• Gender Neutral Policy
• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
• Generous parental leave and new parent transition program
• Flexible work arrangements 
• Employee Assistance Programs to help you in wellness and well being