Data Engineering/SDE/015 || Senior Data Engineer
Bengaluru, Karnataka, India
Full Time
Data Engineering GCC
Experienced
LMG – JOB DESCRIPTION
Senior Data Engineer (5-7years)
Data Engineering
Know us a little better!
The Landmark Group, founded in 1973, has a diverse portfolio of retail and hospitality brands. It has successfully grown into one of the largest and most successful retail conglomerates in the MENA region with an entrepreneurial culture focused on delivering exceptional value. The Group employs over 45,000 people and operates over 1,600 outlets covering 22 million square feet across 19 countries in the Middle East, North Africa, and India region.
Built with love and loads of effort by many smart, talented, and passionate Landmarks, our goal is simple: to deliver high impact to all business functions and institutionalize data driven decision making.
The Landmark Group is one of the leading retail and hospitality organizations in the Middle East and India. Its vast portfolio of successful businesses includes award-winning household brands like Lifestyle, Max, Splash and Home Centre.
Culturally we are an open organization with No Cabin culture and with Lean Structure
We believe Sports makes a person active and intelligent and we would be happy if you play some Table Tennis or pocket in some balls in Pool table.
An organization we are ranked as a Great place to work, and we are proud of our Company values.
Analytics Team Introduction:
Landmark Analytics Centre of Excellence was established in 2015 and is a key function to aid the different businesses of Landmark Group in both overall strategy and intelligent data driven decision making.The team has seen immense growth from a team of 2 people in 2015 to 200+ members globally (Dubai & Bangalore). The team follows an on-shore/ off-shore model of delivery and consists of people with expertise in Retail Analytics & Product Development, solving problems not limited to Inventory Management, Assortment Planning, End to End Supply Chain & Pricing.
Job Title: Senior Data Engineer (5-7years)
Your Key Responsibilities:
- Develop long-term vision for a highly scalable data platform, data management and Data Ops practices.
- Design and architect data flows, data management in Hadoop or Cloud environment which are scalable, repeatable and eliminate time consuming steps
- Promote Data Ops approach to automate the provision of data, testing and monitoring and to shorten development cycles and increase deployment frequency
- Establish development and data governance processes to build mature data pipelines, CI/CD, test coverages, etc.
- Evaluate, provide insights and recommendations on tools and technology strategy for analytics data platforms and applications in conjunction with Enterprise Architecture team
- Ability to lead data engineering workstreams with a product mindset
Who are we looking for:
- Bachelor’s or master’s degree in computer science, Information Systems or equivalent field
- At least 5+ years of experience in building data flows and data management on modern big data tech stack
- Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
- Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current analytics trends.
- Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose.
- Demonstrates expertise in writing complex, highly optimized queries across large data sets
- Strong experience in using ETL framework (eg. Airflow, Oozie, Jenkins etc.) to build and deploy production-quality ETL pipelines.
- Experience in ingesting and transforming structured and unstructured data from internal and third-party sources into dimensional models.
- Knowledge of data structures and distributed computing. Should be comfortable in manipulation and analysis of high-volume data from variety of internal and third-party sources.
- Experience in one or more programming languages like Python or PySpark and moderate knowledge on unix scripting.
- Expertise in using query languages such as SQL, No-SQL, Hive and SparkSQL.
- Strong understanding of distributed storage and compute (Hive and Spark)
- Experience in building stream processing jobs on Apache Spark or similar steaming analytics technology.
- Experience in debugging production issues, providing root cause and implementing mitigation plan
- Should be comfortable in working within Microsoft Azure on services like Azure Data Factory, Azure Synapse, Azure DevOps, Azure Data Bricks etc.
- Understanding of basics of machine learning would be an added advantage.
- Open to learn and implement new technologies and perform POC to explore best solution for the problem statement.
- Retail / E-Commerce background is an advantage.
- Strong sense of urgency, learning appetite and commitment
Our Office Address:
1st Floor, 77 Town Centre, Building # 3, Off HAL Airport Road, East Wing, Yemalur, Bengaluru, Karnataka 560037
Visit us on: www.landmarkgroup.com or www.landmarkgroup.in
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