[Jobs Roundup] Apply For These Latest Data Engineer Openings In India

We have listed the latest Chief Data Scientist job openings in India this week.

1| Data Engineer at Google

Location: Gurgaon

Responsibilities:

• Acquire a deep understanding of business processes and tools and customer expectations to drive greater impact.
• Design, implement, test, optimize, and troubleshoot analytics and reporting solutions to solve business performance management challenges.
• Collaborate with and influence business and engineering stakeholders to ensure our data infrastructure and products meet constantly evolving requirements.

Apply here.

2| Data Engineer at Amazon

Location: Bangalore

Responsibilities:

• Lead the design of an end-to-end platform that will serve the historical reporting, real-time reporting, and predictive analytics needs of the Worldwide Operations HR org.
• You should be well-versed in multiple DW, reporting, and visualization platforms.
• You will have hands-on experience with fast-growing and evolving datasets of large scale.

Apply here.

3| Data Engineer, GMS at Facebook

Location: Hyderabad

Responsibilities:

• Manage data warehouse plans for a business vertical or a group of business verticals.
• Build data expertise and own data quality for allocated areas of ownership.
• Design, build, optimize, launch, and support new and existing data models and analytical solutions.

Apply here.

4| Data Engineer at Larsen & Toubro Infotech

Location: India

Responsibilities:

• Lead teams of engineers and work with both onsite and offshore teams
• Define and manage the roadmap for the implementation of DevOps.
• Strong analytical and troubleshooting skills. Effectively and clearly communicate and manage open project risks and dependencies with leadership.

Apply here.

5| Data Engineer - BI at IBM

Location: Bangalore

Responsibilities:

• Developing, maintaining, and managing advanced reporting, analytics, dashboards, and other BI solutions.
• Performing and documenting data analysis, data validation, and data mapping/design.
• Reviewing and improving existing systems and collaborating with teams to integrate new systems.

Apply here.

6| Data Engineer at Alcon

Location: Bangalore

Responsibilities:

• Deliver business solutions on Alcon’s analytics platform through the end-to-end implementation that includes data security, governance, cataloguing, preparation, automated testing, and data quality metrics.
• Contribute towards building high performing platform/product DevOps agile teams.
• Automate, optimize, migrate, and enhance existing solutions.

Apply here.

7| Data Engineer at Dell

Location: Bangalore

Responsibilities:

• Work closely with our Analytics and AdTech teams to help build complex algorithms that provide unique insights into our data.
• Use agile software development processes to iteratively make improvements to our back-end systems.
• Model front end and back end data sources to help draw a more comprehensive picture of user flows throughout our system and enable powerful data analysis.

Apply here.

8| Data Engineer at Ericsson

Location: Gurgaon

Responsibilities:

• Manage data solution roadmap. Design & lead data solution development, data pipelines.
• Develop and test data solution components. Create detailed data solution design, solution interface, or integration specifications.
• Produce graphical user interfaces or storyboard specifications.

Apply here.

9| Data Engineer at IHS Markit

Location: Bangalore

Responsibilities:

• Build, improve and maintain data ecosystems and dashboards to support a variety of analytics done by the Advanced Analytics team and various business stakeholders.
• Work under limited supervision and communicate effectively to set achievable expectations, to have tight control over timelines and quality of work output.
• Understand the needs of the stakeholders and fellow analysts, translate the need into the design, and develop the systems based on the design.

Apply here.

10| Data Engineer at American Express

Location: Bangalore

Responsibilities:

• Analyses data requirements/data stories and corresponding data sources and data architecture.
• Documents data requirements/data stories and maintains data models to ensure flawless integration into existing data architectures.
• Runs data assets as per the organization standards, guidelines and policies.

Apply here.

11| Data Engineer at Nokia

Location: Bangalore

Responsibilities:

• Designing & developing operational smart, scalable, robust platforms in Azure Platforms.
• Responsible for building and maintaining the business intelligent solutions from requirements, architecture, design, code development through production deployment and post-deployment technical support.
• Responsible for the overall solution design using Azure Synapse Analytics and/or Azure stand-alone components (ADF, ASQL DB, AAS).

Apply here.

12| Data Engineer at Confluent

Location: Bangalore

Responsibilities:

• Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms, including Data Warehouse and real-time systems.
• Developing strong subject matter expertise and managing the SLAs for those data pipelines.
• Set up and improve BI tooling and platforms to help the team create dynamic tools and reporting.

Apply here.

AIMRecruits

A subsidiary of Analytics India Magazine, AIM Recruits is an India-focused executive search firm that partners with leading businesses to assess and acquire top data science talent to drive breakthrough performance. AIM Recruits is a leading Executive Search Firm for Analytics, Data Science & Artificial Intelligence.

1| Data Engineer - ETL/SQL

Location: Bangalore

Responsibilities:

• Able to take, understand and gather requirements, develop and implement the Business requirement/Flows.
• Creating and developing Data Models. Should be able to debug, handle ETL failures on a daily basis.
• Scheduling and monitoring of Batch Jobs. Prepare plans for all ETL procedures and architectures.

Apply here.

2| NLP Engineer - R/SQL/Python at Citius Tech

Location: Multiple locations

Responsibilities:

• Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Implementing statistical and data mining techniques, e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns, and other relevant information.
• Knowledge of databases, data modelling, data normalization, etc., is a must.

Apply here.

3| Big Data Lead - Spark/MongoDB at Flutura

Location: Bangalore

Responsibilities:

• Develop analytic tools, working on BigData and Distributed Environment. Scalability will be the key.
• Liaise with other team members to conduct load and performance testing on modules.
• Visualize and evangelize next-generation infrastructure in Big Data space (Batch, Near RealTime, RealTime technologies).

Apply here.

4| Data Scientist at MedMI

Location: Any location

Responsibilities:

• Good understanding of analytical tools such as R, Java, Python, and My SQL. Leverage data analytics and AWS infrastructure to solve healthcare problems.
• Individual contributor, hands-on experience in Python (must-have), developing AI/ML models from scratch (Regression, Deep Learning).
• Experience in handling Big Data.

Apply here.

5| Data Scientist Knowledge Graph at Huawei

Location: Bangalore

Responsibilities:

• Develop and optimize search recommendations of search engines to improve the effect of recommendation sorting.
• Use the knowledge graph technique to make data more meaningful to the search.
• Develop ML/DL Model to build the Knowledge Graph.

Apply here.

6| Director - Data Science Skoruz Technologies

Location: Bangalore

Responsibilities:

• You should have previous experience working on globally distributed teams. We do not expect you to always know the answer, but you should be able to communicate with your fellow data scientists across the globe. Primary responsibilities include gathering requirements, sourcing data, managing client relationships, and communicating results.
• Develop analytical solutions that bring critical insights to a variety of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, fraud detection.
• Research and develop novel machine learning and statistical techniques to solve complex business problems.

Apply here.