Welcome to IntelliStaff: Your Global IT Solutions and Staffing PartnerAt IntelliStaff, headquartered in the USA with a widespread global footprint, we have been at the forefront of IT Solutions and Staffing for the past 13 years. Our guiding principle "Think Global Act Local"; has been the cornerstone of our success as we navigate challenges and reshape businesses worldwide.

We have an urgent requirement with Altimetrik Job Title: Engineer - Data EngineeringKey Responsibilities:Data Pipeline Development: Design, develop, and maintain scalable data pipelines using PySpark toprocess large volumes of data from various sources.Data Integration: Integrate data from multiple data sources and formats, ensuring high data quality andreliability.Optimization: Optimize and tune data processing jobs for performance and cost-efficiency.Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand datarequirements and deliver high-quality data solutions.ETL Processes: Develop and maintain ETL processes to extract, transform, and load data into datawarehouses and data lakes.Data Quality: Implement data validation and monitoring processes to ensure data accuracy andconsistency.Documentation: Document data engineering processes, workflows, and best practices.Troubleshooting: Identify, troubleshoot, and resolve data-related issues promptly.Required Qualifications:Experience: 3+ years of experience in data engineering or a related field.Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a relatedfield.Technical Skills:Proficiency in PySpark and Python.Strong knowledge of big data technologies such as Hadoop, Hive, and Spark.Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).Knowledge of relational and NoSQL databases (e.g., MySQL, MongoDB, Cassandra).Data Processing: Experience with ETL/ELT processes and data pipeline orchestration tools (e.g., ApacheAirflow, Apache NiFi).Problem-Solving: Strong analytical and problem-solving skills.Communication: Excellent verbal and written communication skills, with the ability to explain complextechnical concepts to non-technical stakeholders.

Business Development Manager 	 	 Join Sociometrik and revolutionize the retail industry with cutting-edge data intelligence!	 	 Are you ready to leverage your extensive experience in the retail industry to drive sales for 	 innovative, data-driven enterprise solutions? As a Business Development Manager at 	 Sociometrik, you'll have the opportunity to transition from the traditional retail industry to the 	 exciting world of retail tech. Experience the thrill of a fast-paced start-up environment while 	 working closely with our leadership team.	 	 This role offers a competitive ﬁxed remuneration plus sales incentives.	 	 About Sociometrik 	 	 Sociometrik, a data intelligence start-up based in New Delhi, India, was founded with the 	 mission of redeﬁning data-backed executive decision-making. We are developing a 	 quantiﬁed information system of the physical world & human activity, helping retailers 	 optimize their ofﬂine sales and distribution strategies and identify the best markets for their 	 retail touchpoints.	 	 What to Expect in your day to day work:	 	 ● Lead Generation: Generate and scope sales leads for our data intelligence products.	 ● Sales Funnel Management: Maintain a sales funnel/CRM of leads and prospects.	 ● Support Development: Assist in creating business development decks and sales 	 	 pitches.	 	 ● Product Demonstrations: Reach out to prospects and demonstrate our products.	 ● Deal Closure: Oversee invoicing and closing of sales deals.	 	         www.sociometrik.com   |   careers@sociometrik.com	 	 ● Innovative Environment: Be part of a team at the forefront of transforming the retail 	 	 industry with technology.	 	 ● Growth Opportunities: Experience signiﬁcant personal and professional growth as you 	 	 help build a strong sales practice in an early-stage, rapidly growing start-up.	 	 ● Leadership Exposure: Work closely with the leadership team, gaining insights and 	 	 mentorship from industry experts.	 	 ● Impactful Work: Play a crucial role in shaping the future of data intelligence in the retail 	 	 What You get :	 	 sector.	 	 Requirements	 	 ● MBA (general, marketing, or related) preferred.	 ● 3+ years of experience in the mall or retail industry.	 ● Non-MBAs with 5+ years of experience in related ﬁelds are also encouraged to apply.	 ● Familiarity with lead generation and prospecting strategies	 	 Location: Gurugram / Client-site	 	         www.sociometrik.com   |   careers@sociometrik.com	 	 

Job Description Print Preview	 	 09/07/24, 3:07 PM	 	 Job Title: Engineer - Data Engineering	 	 Key Responsibilities:  	 Data Pipeline Development: Design, develop, and maintain scalable data pipelines using PySpark to	 process large volumes of data from various sources.  	 Data Integration: Integrate data from multiple data sources and formats, ensuring high data quality and	 reliability.  	 Optimization: Optimize and tune data processing jobs for performance and cost-efficiency.  	 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data	 requirements and deliver high-quality data solutions.  	 ETL Processes: Develop and maintain ETL processes to extract, transform, and load data into data	 warehouses and data lakes.  	 Data Quality: Implement data validation and monitoring processes to ensure data accuracy and	 consistency.  	 Documentation: Document data engineering processes, workflows, and best practices.  	 Troubleshooting: Identify, troubleshoot, and resolve data-related issues promptly.  	 Required Qualifications:  	 Experience: 3+ years of experience in data engineering or a related field.  	 Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related	 field.  	 Technical Skills:  	 Proficiency in PySpark and Python.  	 Strong knowledge of big data technologies such as Hadoop, Hive, and Spark.  	 Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.  	 Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).  	 Knowledge of relational and NoSQL databases (e.g., MySQL, MongoDB, Cassandra).  	 Data Processing: Experience with ETL/ELT processes and data pipeline orchestration tools (e.g., Apache	 Airflow, Apache NiFi).  	 Problem-Solving: Strong analytical and problem-solving skills.  	 Communication: Excellent verbal and written communication skills, with the ability to explain complex	 technical concepts to non-technical stakeholders 	 	 Long Description	 	 Key Responsibilities:  	 Data Pipeline Development: Design, develop, and maintain scalable data pipelines using PySpark to	 process large volumes of data from various sources.  	 Data Integration: Integrate data from multiple data sources and formats, ensuring high data quality and	 reliability.  	 Optimization: Optimize and tune data processing jobs for performance and cost-efficiency.  	 Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data	 requirements and deliver high-quality data solutions.  	 ETL Processes: Develop and maintain ETL processes to extract, transform, and load data into data	 warehouses and data lakes.  	 Data Quality: Implement data validation and monitoring processes to ensure data accuracy and	 consistency.  	 Documentation: Document data engineering processes, workflows, and best practices.  	 Troubleshooting: Identify, troubleshoot, and resolve data-related issues promptly.  	 Required Qualifications:  	 Experience: 3+ years of experience in data engineering or a related field.  	 Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related	 field.  	 Technical Skills:  	 	 https://hcm44.sapsf.com/xi/ui/rcmcommon/pages/jobReqPrintPre…ue&_s.crb=inNKb6awspU%2bnUdrviSp5o7OpOcjuCfnfTg%2btMzbKZU%3d	 	 Page 1 of 2	 	 Job Description Print Preview	 	 09/07/24, 3:07 PM	 	 Proficiency in PySpark and Python.  	 Strong knowledge of big data technologies such as Hadoop, Hive, and Spark.  	 Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.  	 Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).  	 Knowledge of relational and NoSQL databases (e.g., MySQL, MongoDB, Cassandra).  	 Data Processing: Experience with ETL/ELT processes and data pipeline orchestration tools (e.g., Apache	 Airflow, Apache NiFi).  	 Problem-Solving: Strong analytical and problem-solving skills.  	 Communication: Excellent verbal and written communication skills, with the ability to explain complex	 technical concepts to non-technical stakeholders 	 	 https://hcm44.sapsf.com/xi/ui/rcmcommon/pages/jobReqPrintPre…ue&_s.crb=inNKb6awspU%2bnUdrviSp5o7OpOcjuCfnfTg%2btMzbKZU%3d	 	 Page 2 of 2	 	 

Job OverviewData Analyst - Junior Level position. Full-Time employment type based in Bangalore, Kolkata. Salary range commensurate with experience. Qualifications and Skills<ul><li>Statistical Analysis</li><li>Machine Learning</li><li>Python Programming</li><li>Data Visualization</li><li>Predictive Modeling</li><li>Big Data</li><li>SQL</li><li>Data Mining</li></ul> Roles and Responsibilities<ul><li>Analyze large datasets to provide actionable insights</li><li>Implement statistical models and machine learning algorithms</li><li>Develop Python scripts for data processing and analysis</li><li>Create visualizations to effectively communicate findings</li><li>Build predictive models to support business decision-making</li><li>Work with Big Data technologies for data handling and processing</li><li>Use SQL for querying databases and extracting relevant data</li><li>Conduct data mining to discover patterns and trends</li></ul>

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