11+ SPSS Jobs in Hyderabad | SPSS Job openings in Hyderabad

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Acquire data from primary or secondary data sources and maintain databases/data systems

Identify, analyze, and interpret trends or patterns in complex data sets

Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Work with management to prioritize business and information needs

Locate and define new process improvement opportunities

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

1.      Python Developer with Snowflake

Job Description :

1. 5.5+ years of Strong Python Development Experience with Snowflake.
2. Strong hands of experience with SQL ability to write complex queries.
3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
4.  Development of Data Analysis, Data Processing engines using Python
5. Good Experience in Data Transformation using Python. 
6.  Experience in Snowflake data load using Python.
7.  Experience in creating user-defined functions in Snowflake.
8.  Snowsql implementation.
9.  Knowledge of query performance tuning will be added advantage.
10. Good understanding of Datawarehouse (DWH) concepts.
11.  Interpret/analyze business requirements & functional specification
12.  Good to have DBT, FiveTran, and AWS Knowledge.

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

Position: ETL Developer

Location: Mumbai

Exp.Level: 4+ Yrs

Required Skills:

* Strong scripting knowledge such as: Python and Shell

* Strong relational database skills especially with DB2/Sybase

* Create high quality and optimized stored procedures and queries

* Strong with scripting language such as Python and Unix / K-Shell

* Strong knowledge base of relational database performance and tuning such as: proper use of indices, database statistics/reorgs, de-normalization concepts.

* Familiar with lifecycle of a trade and flows of data in an investment banking operation is a plus.

* Experienced in Agile development process

* Java Knowledge is a big plus but not essential

* Experience in delivery of metrics / reporting in an enterprise environment (e.g. demonstrated experience in BI tools such as Business Objects, Tableau, report design & delivery) is a plus

* Experience on ETL processes and tools such as Informatica is a plus. Real time message processing experience is a big plus.

* Good team player; Integrity & ownership

About Telstra

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries, including In India where we’re building a new Innovation and Capability Centre (ICC) in Bangalore.

We’re growing, fast, and for you that means many exciting opportunities to develop your career at Telstra. Join us on this exciting journey, and together, we’ll reimagine the future.

Why Telstra?

• We're an iconic Australian company with a rich heritage that's been built over 100 years. Telstra is Australia's leading Telecommunications and Technology Company. We've been operating internationally for more than 70 years.
• International presence spanning over 20 countries.
• We are one of the 20 largest telecommunications providers globally
• At Telstra, the work is complex and stimulating, but with that comes a great sense of achievement. We are shaping the tomorrow's modes of communication with our innovation driven teams.

Telstra offers an opportunity to make a difference to lives of millions of people by providing the choice of flexibility in work and a rewarding career that you will be proud of!

About the team

Being part of Networks & IT means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy.

With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.

Focus of the role

Any new engineer who comes into data chapter would be mostly into developing reusable data processing and storage frameworks that can be used across data platform.

About you

To be successful in the role, you'll bring skills and experience in:-

Essential 

• Hands-on experience in Spark Core, Spark SQL, SQL/Hive/Impala, Git/SVN/Any other VCS and Data warehousing
• Skilled in the Hadoop Ecosystem(HDP/Cloudera/MapR/EMR etc)
• Azure data factory/Airflow/control-M/Luigi
• PL/SQL
• Exposure to NOSQL(Hbase/Cassandra/GraphDB(Neo4J)/MongoDB)
• File formats (Parquet/ORC/AVRO/Delta/Hudi etc.)
• Kafka/Kinesis/Eventhub

Highly Desirable

Experience and knowledgeable on the following:

• Spark Streaming
• Cloud exposure (Azure/AWS/GCP)
• Azure data offerings - ADF, ADLS2, Azure Databricks, Azure Synapse, Eventhubs, CosmosDB etc.
• Presto/Athena
• Azure DevOps
• Jenkins/ Bamboo/Any similar build tools
• Power BI
• Prior experience in building or working in team building reusable frameworks,
• Data modelling.
• Data Architecture and design principles. (Delta/Kappa/Lambda architecture)
• Exposure to CI/CD
• Code Quality - Static and Dynamic code scans
• Agile SDLC      

If you've got a passion to innovate, succeed as part of a great team, and looking for the next step in your career, we'd welcome you to apply!

___________________________

We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.

Location:  Pune/Nagpur,Goa,Hyderabad/Bangalore

Job Requirements:

• 9 years and above of total experience preferably in bigdata space.
• Creating spark applications using Scala to process data.
• Experience in scheduling and troubleshooting/debugging Spark jobs in steps.
• Experience in spark job performance tuning and optimizations.
• Should have experience in processing data using Kafka/Pyhton.
• Individual should have experience and understanding in configuring Kafka topics to optimize the performance.
• Should be proficient in writing SQL queries to process data in Data Warehouse.
• Hands on experience in working with Linux commands to troubleshoot/debug issues and creating shell scripts to automate tasks.
• Experience on AWS services like EMR.

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.