Job Role: Azure Data EngineerJob Location: TCS MumbaiJob Mode: Work From OfficeExperience Range: Min 5 - 7 yearsDesired Competencies (Technical/Behavioral Competency):Skills: ADF, ADLS, ADB, Data Bricks, Python/Scala, SQL, Synapse, Power BI, C #, Informatica Data Governance Champions Enablement, Informatica IICS, Informatica PowerCenter; Azure DevOps, Azure Monitor, Azure Functions, Sharepoint, ML, Data Factory, Data LakeConceiving end-to-end data Projects leveraging the Sodexo Data Platform and cloud technologies together with state-of-the-art data stack capabilities.Owning and leading the design and the build of integrated and reusable “Data Pipelines” all along the Data projects’ life cycle (Data projects being BI, Machine Learning, IoT projects). Working with Sodexo’s global & regional Data Services teams, DataLab Data Science teams, IS&T Security & Infrastructure teams and further teams to ensure ‘Data Products’ are integrated, tested and usable. Knowing of the state-of-the-art in modern Data Software Engineering and reading code implementations and testing them in a real size environment in the cloud (Microsoft Azure). Working with Data Architect and Solution Architect to ensure the architectures and deployments align with the Technical Change Request Requirements.

Role - GCP Data EngineerExperience - 5 to 12 yrsLocation - Chennai,Hyderabad,Bangalore,Pune,Gurgaon Must Have -Big query, Dataflow , Cloud SQL , Cloud composer , Python , Vertex and Data flow Must-Have· Google Data Engineer (Overall 5+ Years with 2 years relevant experience)· Experience working in GCP based Big Data deployments (Batch/Realtime) leveraging components like GCP Big Query, air flow, Google Cloud Storage, Data fusion, Data flow, Data Proc etc.· Good skills in Python Language, PYSPARK· Good Skills in Linux· Exposure to creation of CI-CD pipelines for promoting big data release deployments and designing log monitoring features.· Excellent written and verbal communication skills in English · The following skills are good-to-have, but not a requirement: · Good-to-Have · Experience in On Premise Hadoop technologies (Hive, Sqoop, SPARK, Kafka) Hadoop, Spark, Apache Beam· Google Data Engineer (Overall 5+ Years with 2 years relevant experience) · Experience working in GCP based Big Data deployments (Batch/Realtime) leveraging components like GCP Big Query, air flow, Google Cloud Storage, Data fusion, Data flow, Data Proc etc. · Good skills in Python Language, PYSPARK · Good Skills in Linux · Exposure to creation of CI-CD pipelines for promoting big data release deployments and designing log monitoring features. · Excellent written and verbal communication skills in English · The following skills are good-to-have, but not a requirement: ·Good-to-Have · Experience in On Premise Hadoop technologies (Hive, Sqoop, SPARK, Kafka) Hadoop,

Job Title: Data Engineer Organization: National e-Governance Division (NeGD), Ministry of Electronics and Information Technology, Government of India Location: New Delhi, India Job Summary:The National e-Governance Division (NeGD) is seeking a highly skilled and motivated Data Engineer to join our technical team. The ideal candidate will be responsible for building and maintaining the data infrastructure required for optimal extraction, transformation, and loading of data from various sources to support e-governance initiatives under the Digital India program. This role is crucial in ensuring the reliability, scalability, and efficiency of data systems that enable data-driven decision-making and enhance public service delivery. Key Responsibilities: Data Pipeline Development:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to handle large volumes of data.</li><li>Ensure the timely and accurate movement of data from various sources to data warehouses or data lakes.</li></ul>Data Integration:<ul><li>Integrate data from a variety of sources, including databases, APIs, and third-party systems.</li><li>Collaborate with cross-functional teams to understand data requirements and ensure seamless data flow.</li></ul>Data Warehousing:<ul><li>Develop and maintain data warehouse architectures to support business intelligence and analytics needs.</li><li>Optimize database schemas and queries for performance and scalability.</li></ul>Data Quality and Governance:<ul><li>Implement data validation and cleansing processes to ensure data accuracy and consistency.</li><li>Enforce data governance policies and maintain documentation of data models and processes.</li></ul>Performance Optimization:<ul><li>Monitor and improve the performance of data systems.</li><li>Troubleshoot and resolve issues related to data pipelines and infrastructure.</li></ul>Collaboration and Communication:<ul><li>Work closely with data scientists, analysts, and other stakeholders to support their data needs.</li><li>Provide technical guidance and support to team members on data engineering best practices.</li></ul>Security and Compliance:<ul><li>Ensure data systems comply with government regulations and data protection laws.</li><li>Implement security measures to protect data integrity and privacy.</li></ul> Qualifications and Experience: Education:<ul><li>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>A Master's degree or specialization in Data Engineering or related disciplines is an added advantage.</li></ul> Experience:<ul><li>Minimum of 5-7 years of experience in data engineering or related roles.</li><li>Proven experience in building and maintaining large-scale data pipelines and data architectures.</li><li>Experience with big data technologies and cloud platforms is highly desirable.</li></ul> Certifications:<ul><li>Relevant certifications in data engineering, cloud technologies, or big data platforms are advantageous.</li></ul> Skills and Competencies: Technical Proficiency:<ul><li>Strong programming skills in languages such as Python, Java, or Scala.</li><li>Proficiency with data processing frameworks like Apache Spark, Hadoop, or Flink.</li><li>Experience with ETL tools and workflow schedulers like Apache Airflow or NiFi.</li><li>Knowledge of SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).</li><li>Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their data services.</li></ul>Data Modeling and Warehousing:<ul><li>Strong understanding of data modeling concepts and data warehouse design.</li><li>Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.</li></ul>Problem-Solving Skills:<ul><li>Excellent analytical and troubleshooting abilities.</li><li>Ability to handle complex data-related challenges and provide effective solutions.</li></ul>Communication and Collaboration:<ul><li>Strong communication skills to work effectively with cross-functional teams.</li><li>Ability to explain technical concepts to non-technical stakeholders.</li></ul>Organizational Skills:<ul><li>Ability to manage multiple tasks and projects simultaneously.</li><li>Strong attention to detail and commitment to delivering high-quality work.</li></ul>Understanding of E-Governance:<ul><li>Familiarity with the Digital India initiative and e-governance frameworks.</li><li>Understanding of government data policies, standards, and regulatory requirements.</li></ul> CV FormatPlease submit your CV in the following format :<a>CV format (Click here)</a>

A candidate should have Streamlit Expertise! Project Description:Develop scalable data collection, storage, and distribution platform to house data from vendors, research providers, exchanges, PBs, and web-scraping. Make data available to systematic & fundamental PMs, and enterprise functions: Ops, Risk, Trading, and Compliance. Develop internal data products and analyticsResponsibilities:<ul><li>Web scraping using scripts/APIs/Tools</li><li>Help build and maintain greenfield data platform running on Snowflake and AWS</li><li>Understand the existing pipelines and enhance pipelines for the new requirements.</li><li>Onboarding new data providers</li><li>Data migration projects</li></ul>Mandatory Skills Description:<ul><li>SQL</li><li>Python</li><li>Linux</li><li>Containerization(Docker, Kubernetes)</li><li>Good communication skills</li><li>AWS</li><li>Strong on Dev ops side of things(K8s, Docker, Jenkins)</li></ul>

Dear Candidate Warm Greetings from Tata Consultancy Services TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul. Role : Azure data engineerExp : 8-15 YearsLocation : Delhi NCR 8+ years of total IT experience<ul><li>Minimum 5+ years of development experience in Azure</li><li>Must have Data Warehouse / Data Lake development experience.</li><li>Must have Azure Data Factory (ADF) & Azure SQL DB</li><li>Must have Azure Data Bricks experience using Python or Spark or Scala</li><li>Nice to have Data Modelling & Azure Synapse experience.</li><li>Nice to Azure ML experience</li><li>Nice to have PowerBI experience.</li><li>Nice to have Azure Data Engineer Certifications</li><li>Passion for Data Quality with an ability to integrate these capabilities into the deliverables.</li><li>Prior use of Big Data components and the ability to rationalize and align their fit for a business case.</li><li>Experience in working with different data sources - flat files, XML, JSON, Avro files and databases.</li><li>Knowledge of Jenkins for continuous integration and End-to-End automation for application build and deployments.</li><li>Ability to integrate into a project team environment and contribute to project planning activities.</li><li>Experience in developing implementation plans and schedules and preparing documentation for the jobs according to the business requirements.</li><li>Lead ambiguous and complex situations to clear measurable plans.</li><li>Proven experience and ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations.</li></ul> RegardsPrashaanthini

At Baazi Games, we collaborate in an environment that offers a surplus of freedom to think out of- the the-box and take ownership of opportunities. Just like our games, we are bold and out there in our thinking. Be it boardroom meetings, coffee breaks with colleagues or a game at the TT table, partnership and teamwork are always by our side. For us, there are no Monday blues or fantastic Fridays. Each day at Baazi Games, we welcome an enthusiastic team that is turbocharged for high performance. We are constantly in power-up mode and chase our goals untamed and unabashed. We started our journey with the sole purpose of giving our audience a sports experience that is world-class in every sense. Everything since then has been about our users. Their needs and expectations sit at the centre of our thoughts and actions. BAAZI GAMES Main Platforms<ul><li>PokerBaazi.com </li><li>SportsBaazi.com </li><li>CardBaazi.com</li></ul> What you will do: <ul><li>Design, build and own all the components of a high-volume data warehouse end to end. </li><li>Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting. </li><li>Interface with business customers, gathering requirements and delivering complete data & reporting solutions owning the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.</li><li>Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. </li><li>Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources. </li><li>Own the functional and non-functional scaling of software systems in your own area.</li><li>Provides input and recommendations on technical issues to BI Engineers, Business & Data Analysts, and Data Scientists </li></ul> What are we looking for: <ul><li>2+ years of experience in data engineering/business intelligence space</li><li>Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using the traditional or map-reduce batch mechanism. </li><li>Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas, etc </li><li>Extremely proficient in writing performant SQL working with large data volumes</li><li>Experience designing and operating very large Data Warehouses</li><li>Experience with scripting for automation (e.g., UNIX Shell scripting, Python, Perl, Ruby). </li><li>Good to have experience working on the AWS stack </li><li>Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers </li><li>Curious, self-motivated & a self-starter with a ‘can-do attitude’. Comfortable working in a fast-paced dynamic environment. </li></ul> Key Behaviors that we look for <ul><li>Must have excellent knowledge of Advanced SQL working with large data sets.</li><li>Must have excellent dimensional modelling skills. </li><li>Good to have experience with AWS technologies including Redshift, RDS, S3, EMR, EML or similar solutions build around Hive/Spark, etc. </li><li>Good to have experience with reporting tools like Tableau, OBIEE, or other BI packages.</li></ul>

We are looking for a talented Data Engineer with experience in ETL processes, database administration, and scripting, as well as expertise in tools such as Snowflake, Azure Data Factory, DBT, and Talend. The ideal candidate will have a strong technical background and be capable of working on various aspects of data engineering, from building data pipelines to optimizing data storage and retrieval. Key Responsibilities:ETL Development and Maintenance:<ul><li>Design, develop, and maintain scalable ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.</li><li>Utilize Talend and Azure Data Factory to create and manage ETL workflows that ensure data accuracy and efficiency.</li></ul>Database Administration:<ul><li>Administer and optimize databases, ensuring high performance, availability, and security of data assets.</li><li>Manage Snowflake data warehouse, including schema design, data partitioning, and performance tuning.</li></ul>Data Engineering and Scripting:<ul><li>Develop and maintain Python scripts for data processing, automation, and integration tasks.</li><li>Implement and optimize data transformation processes using DBT (Data Build Tool) to ensure data quality and consistency.</li></ul>Data Integration and Management:<ul><li>Integrate data from multiple sources and ensure seamless data flow and accessibility.</li><li>Collaborate with data analysts and data scientists to understand data requirements and deliver relevant solutions.</li></ul>Performance Optimization:Monitor and optimize data pipelines and database performance to ensure efficient data processing and retrieval.

Data Engineer Jobs in Delhi, India

Azure Data Engineer
December 14, 2024

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December 5, 2024

Hiring For Senior Azure Data Engineer Delhi Ncr _Immediate Joinee
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November 28, 2024

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Data Engineer Jobs in Delhi, India

Azure Data EngineerDecember 14, 2024

Gcp Data EngineerDecember 9, 2024

Data EngineerDecember 6, 2024

Data EngineerDecember 5, 2024

Hiring For Senior Azure Data Engineer Delhi Ncr _Immediate JoineeDecember 1, 2024

Data EngineerNovember 28, 2024

Data EngineerNovember 28, 2024

Quick filters

Top companies

Azure Data Engineer
December 14, 2024

Gcp Data Engineer
December 9, 2024

Data Engineer
December 6, 2024

Data Engineer
December 5, 2024

Hiring For Senior Azure Data Engineer Delhi Ncr _Immediate Joinee
December 1, 2024

Data Engineer
November 28, 2024

Data Engineer
November 28, 2024