126 Spark Sql Jobs - Page 5

General Roles & Responsibilities: Technical Leadership: Demonstrate leadership, and ability to guide business and technology teams in adoption of best practices and standards Design & Development: Design, develop, and maintain robust, scalable, and high-performance data estate Architecture: Architect and design robust data solutions that meet business requirements & include scalability, performance, and security. Quality: Ensure the quality of deliverables through rigorous reviews, and adherence to standards. Agile Methodologies: Actively participate in agile processes, including planning, stand-ups, retrospectives, and backlog refinement. Collaboration: Work closely with system architects, ...

As a Big Data Lead with 7-12 years of experience, you will be responsible for leading the development of data processing systems and applications, specifically in the areas of Data Warehousing (DWH). Your role will involve utilizing your strong software development skills in multiple computing languages, with a focus on distributed data processing systems and BIDW programs. You should have a minimum of 4 years of software development experience and a proven track record in developing and testing applications, preferably on the J2EE stack. A sound understanding of best practices and concepts related to Data Warehouse Applications is crucial for this role. Additionally, you should possess a st...

You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. As an Analytics Solutions Vice President in our Finance team, you will define, refine, and deliver our firm's goals. If you're a skilled data professional passionate about transforming raw data into actionable insights and eager to learn and implement new technologies, you've found the right team. Join us in the Finance Data & Insights Team, an agile product team focused on developing, producing, and transforming financial data and reporting across CCB. Your role will involve creating data visualizations and intelligence solutions for top leaders to achieve strategic goals. You'll...

You should have a minimum of 6 years of experience in the technical field and possess the following skills: Python, Spark SQL, PySpark, Apache Airflow, DBT, Snowflake, CI/CD, Git, GitHub, and AWS. Your role will involve understanding the existing code base in AWS services and SQL, and converting it to a tech stack primarily using Airflow, Iceberg, Python, and SQL. Your responsibilities will include designing and building data models to support business requirements, developing and maintaining data ingestion and processing systems, implementing data storage solutions, ensuring data consistency and accuracy through validation and cleansing techniques, and collaborating with cross-functional te...

As a Senior Azure Data Engineer, your responsibilities will include: Building scalable data pipelines using Databricks and PySpark Transforming raw data into usable business insights Integrating Azure services like Blob Storage, Data Lake, and Synapse Analytics Deploying and maintaining machine learning models using MLlib or TensorFlow Executing large-scale Spark jobs with performance tuning on Spark Pools Leveraging Databricks Notebooks and managing workflows with MLflow Qualifications: Bachelors/Masters in Computer Science, Data Science, or equivalent 7+ years in Data Engineering, with 3+ years in Azure Databricks Strong hands-on in: PySpark, Spark SQL, RDDs, Pandas, NumPy, Delta Lake Azur...

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: PUNE Job Role: Big Data Solution Architect EXPERIENCE: 10 Yrs - 20 Yrs CTC Range: 25 LPA -35 LPA Work Type: Hybrid Required Skills & Experience: 10+ years of progressive experience in software development, data engineering, and solution architecture roles, with a strong focus o...

Function: Software Engineering Big Data / DWH / ETL Azure Data Factory Azure Synapse ETL Spark SQL Scala Responsibilities: Designing and implementing scalable and efficient data architectures. Creating data models and optimizing data structures for performance and usability. Implementing and managing data lakehouses and real-time analytics solutions using Microsoft Fabric. Leveraging Fabric's OneLake, Dataflows, and Synapse Data Engineering for seamless data management. Enabling end-to-end analytics and AI-powered insights. Developing and orchestrating data pipelines in Azure Data Factory. Managing ETL/ELT processes for data integration across various sources. Optimizing data workflows for p...

We are seeking an experienced PySpark Developer / Data Engineer to design, develop, and optimize big data processing pipelines using Apache Spark and Python (PySpark). The ideal candidate should have expertise in distributed computing, ETL workflows, data lake architectures, and cloud-based big data solutions. Key Responsibilities: Develop and optimize ETL/ELT data pipelines using PySpark on distributed computing platforms (Hadoop, Databricks, EMR, HDInsight). Work with structured and unstructured data to perform data transformation, cleansing, and aggregation. Implement data lake and data warehouse solutions on AWS (S3, Glue, Redshift), Azure (ADLS, Synapse), or GCP (BigQuery, Dataflow). Op...

Please Note - NP should be 0-15 days Looking for 10+ Y / highly experienced and deeply hands-on Data Architect to lead the design, build, and optimization of our data platforms on AWS and Databricks. This role requires a strong blend of architectural vision and direct implementation expertise, ensuring scalable, secure, and performant data solutions from concept to production. Strong hand on exp in data engineering/architecture, hands-on architectural and implementation experience on AWS and Databricks, Schema modeling . AWS: Deep hands-on expertise with key AWS data services and infrastructure. Databricks: Expert-level hands-on development with Databricks (Spark SQL, PySpark), Delta Lake, a...

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Adva...

Job Description: We are looking for energetic, self-motivated and exceptional Data engineer to work on extraordinary enterprise products based on AI and Big Data engineering leveraging AWS/Databricks tech stack. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers and Integration. Skills and Qualifications: 5+ years of experience in DWH/ETL Domain; Databricks/AWS tech stack 2+ years of experience in building data pipelines with Databricks/ PySpark /SQL Experience in writing and interpreting SQL queries, designing data models and data standards. Experience in SQL Server databases, Oracle and/or cloud databases. Experience in data warehousing and data m...

We are looking for energetic, self-motivated and exceptional Data engineer to work on extraordinary enterprise products based on AI and Big Data engineering leveraging AWS/Databricks tech stack. He/she will work with star team of Architects, Data Scientists/AI Specialists, Data Engineers and Integration. Skills and Qualifications: 5+ years of experience in DWH/ETL Domain; Databricks/AWS tech stack 2+ years of experience in building data pipelines with Databricks/ PySpark /SQL Experience in writing and interpreting SQL queries, designing data models and data standards. Experience in SQL Server databases, Oracle and/or cloud databases. Experience in data warehousing and data mart, Star and Sno...

About the Roe: Grade Leve (for interna use): 11 The Team: Our team is responsibe for the design, architecture, and deveopment of our cient facing appications using a variety of toos that are reguary updated as new technoogies emerge. You wi have the opportunity every day to work with peope from a wide variety of backgrounds and wi be abe to deveop a cose team dynamic with coworkers from around the gobe. The Impact: The work you do wi be used every singe day, its the essentia code you write that provides the data and anaytics required for crucia, daiy decisions in the capita and commodities markets. Whats in it for you: Buid a career with a goba company. Work on code that fues the goba financ...

Job Summary Synechron is seeking an experienced and technically proficient Senior PySpark Data Engineer to join our data engineering team. In this role, you will be responsible for developing, optimizing, and maintaining large-scale data processing solutions using PySpark. Your expertise will support our organizations efforts to leverage big data for actionable insights, enabling data-driven decision-making and strategic initiatives. Software Requirements Required Skills: Proficiency in PySpark Familiarity with Hadoop ecosystem components (e.g., HDFS, Hive, Spark SQL) Experience with Linux/Unix operating systems Data processing tools like Apache Kafka or similar streaming platforms Preferred...

Databricks developer with deep SQL expertise to support the development of scalable data pipelines and analytics workflows, will work closely with data engineers BIanalysts to prepare clean, query-optimized datasets for reporting and modeling.

About the Role: We are seeking a skilled and experienced Data Engineer to join our remote team. The ideal candidate will have 5-7 years of professional experience working with Python, PySpark, SQL, and Spark SQL, and will play a key role in building scalable data pipelines, optimizing data workflows, and supporting data-driven decision-making across the organization. Key Responsibilities: Design, build, and maintain scalable and efficient data pipelines using PySpark and SQL. Develop and optimize Spark jobs for large-scale data processing. Collaborate with data scientists, analysts, and other engineers to ensure data quality and accessibility. Implement data integration from multiple sources...

Role Purpose The role incumbent is focused on implementation of roadmaps for business process analysis, data analysis, diagnosis of gaps, business requirements & functional definitions, best practices application, meeting facilitation, and contributes to project planning. Consultants are expected to contribute to solution building for the client & practice. The role holder can handle higher scale and complexity compared to a Consultant profile and is more proactive in client interactions. Do Assumes responsibilities as the main client contact leading engagement w/ 10-20% support from Consulting & Client Partners. Develops, assesses, and validates a clients business strategy, including indust...

Designation : Azure Data Engineer Experience : 5+ Years Location: Chennai, Bangalore, Pune, Mumbai Notice Period: Immediate Joiners/ Serving Notice Period Shift Timing: 3:30 PM IST to 12:30 AM IST Job Description : Azure Data Engineer: Must Have Azure Data Bricks, Azure Data Factory, Spark SQL with analytical knowledge Years 6-7 years of development experience in data engineering skills Strong experience in Spark. Understand complex data system by working closely with engineering and product teams Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations. Sincerely, Sonia HR Recruiter...

Seeking an experienced Data Engineer who can play a crucial role in the company's fintech data lake project. Technical/Functional Skills: Must have 5+ years of experience working in data warehousing systems Strong experience in Oracle Fusion ecosystem, with strong data-extracting experience using Oracle BICC/BIP. Must have good functional understanding of Fusion data structures. Must have strong and proven data engineering experience in big data Databricks environment Must have hands-on experience building data ingestion pipelines from Oracle Fusion Cloud to a Databricks environment Strong data transformation/ETL skills using Spark SQL, Pyspark, Unity Catalog working in Databricks Medallion ...

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed b...

Role & responsibilities Urgent Hiring for one of the reputed MNC Exp - 5+ Years Location - Pan India Immediate Joiners only Snowflake developer , Pyspark , Python , API, CI/CD , Cloud services ,Azure , Azure Devops Subject: Fw : TMNA SNOWFLAKE POSITION Please share profiles for Snowflake developers having strong Pyspark experience Job Description: Strong hands-on experience in Snowflake development including Streams, Tasks, and Time Travel Deep understanding of Snowpark for Python and its application for data engineering workflows Proficient in PySpark , Spark SQL, and distributed data processing Experience with API development . Proficiency in cloud services (preferably Azure, but AWS/GCP a...

Role & responsibilities Urgent hiring for one of the reputed MNC Data Analyst Exp - 5 - 10 Years Only immediate joiners Location - Bangalore JD: Data Analyst Mandatory SKILLS 1. SQL : Proficient in database object creation including tables, views, indexes etc. Strong expertise in SQL queries ,Stored procedure & Function etc. Experienced in performance tuning & optimization techniques. 2.PowerBI : Proficiency in Power BI development, including report and dashboard creation Design, develop, and maintain complex Power BI data models, ensuring data integrity and consistency. Comprehensive understanding of data modeling and data visualization concepts Identify and resolve performance bottlenecks ...

Responsibilities: Solve problems, analyze and isolate issues. Provide technical guidance and mentoring to the team and help them adopt change as new processes are introduced. Champion best practices and serve as a subject matter authority. Develop solutions to develop/support key business needs. Engineer components and common services based on standard development models, languages and tools Produce system design documents and lead technical walkthroughs Produce high quality code Collaborate effectively with technical and non-technical partners As a team-member should continuously improve the architecture Basic Qualifications: 6-8 years of experience in application development using Java or ...

As the Full Stack Developer within the Data and Analytics team, you will be responsible for delivery of innovative data and analytics solutions, ensuring Al Futtaim Business stays at the forefront of technical development.

Role :- Resident Solution ArchitectLocation: RemoteThe Solution Architect at Koantek builds secure, highly scalable big data solutions to achieve tangible, data-driven outcomes all the while keeping simplicity and operational effectiveness in mind This role collaborates with teammates, product teams, and cross-functional project teams to lead the adoption and integration of the Databricks Lakehouse Platform into the enterprise ecosystem and AWS/Azure/GCP architecture This role is responsible for implementing securely architected big data solutions that are operationally reliable, performant, and deliver on strategic initiatives Specific requirements for the role include: Expert-level knowled...